Welcome to my CV
TRẦN MINH
Senior Solution Architect | AI & Cloud Architect | Engineering Manager | Pre-sales & SWAT | Technical Leader
Ho Chi Minh City, Vietnam
Email: vuilendi@gmail.com | LinkedIn: https://www.linkedin.com/in/vuilendi/
Professional Summary
Senior Solution Architect, AI Architect, and Engineering Manager with strong experience across cloud architecture, GenAI solution design, pre-sales solutioning, SWAT technical support, and engineering capability development. Currently leading an engineering group of 80+ members across LAMP, Node.js, Python, and AWS practices, with responsibility for technical direction, skill planning, mentoring, training roadmap, and delivery support.
Strong track record in translating ambiguous business requirements into practical technical solutions, including architecture design, technical proposal, WBS, assumptions, risks, delivery roadmap, and estimation support. Experienced in supporting enterprise bids across logistics, insurance, retail, charity, media, AI-enabled platforms, cloud migration, integration modernization, security hardening, and application modernization.
Actively driving internal capability in AI architecture, AWS cloud engineering, backend engineering, security, performance optimization, LangChain, Node.js, Golang, Python, and C4 modeling.
Core Competencies
Solution Architecture: Enterprise Architecture, Cloud Architecture, AI Architecture, Integration Architecture, Application Modernization, Technical Proposal, WBS, Estimation, C4 Model, Architecture Governance
AI & GenAI: LangChain, RAG, AI Orchestration, Controlled Agent Skills, Guardrails, Source Validation, Citation Validation, Human-in-the-loop Review, Prompt Engineering, Agentic AI Concepts
Cloud & DevOps: AWS, AWS EKS, AWS Well-Architected Framework, Cost Optimization, Performance Tuning, Security & Compliance, CI/CD, Containerization, Observability
Backend & Full Stack: Node.js, Python, PHP/LAMP, Golang Fundamentals, API Design, Microservices, Integration Services, Event-driven Architecture
Leadership: Engineering Management, Pre-sales, SWAT, Technical Consulting, Training, Community Leadership, Mentoring, Capability Development, Stakeholder Communication
Selected Achievements
- Led solution architecture and technical proposal development for enterprise bids across cloud migration, AI-enabled platforms, logistics, insurance, retail, charity, media, and integration modernization.
- Managed and developed an engineering capability group of 80+ members across LAMP, Node.js, Python, and AWS, including skill planning, technical direction, mentoring, delivery support, and community enablement.
- Served as SWAT for high-risk projects, supporting architecture review, production issue analysis, security remediation, performance tuning, integration review, and delivery risk reduction.
- Supported pre-sales teams by converting unclear client requirements into a structured solution scope, architecture options, WBS, assumptions, risks, dependencies, and estimation inputs.
- Designed AI solution patterns using LangChain, RAG, AI orchestration, controlled agent skills, guardrails, source validation, auditability, and human-in-the-loop workflows.
- Developed cloud modernization approaches using AWS and Azure concepts, covering application hosting, integration services, CI/CD automation, monitoring, security controls, scalability, and operational readiness.
- Defined security and production-risk remediation roadmaps across multiple repositories, covering authentication, SQL injection risks, OAuth token protection, dependency stabilization, CI hardening, and baseline automated testing.
- Built and delivered technical training programs covering AWS EKS, AWS Cost Optimization, AWS Performance Tuning, AWS Security & Compliance, AWS Well-Architected Framework, Integration Services, Advanced Node.js, Golang, Python, LangChain, Security Best Practices on AWS, and C4 Model.
- Promoted reusable architecture practices through C4 modeling, technical proposal templates, architecture governance, structured assumptions, and clear in-scope/out-of-scope definitions.
Selected Projects & Bid Experience
Enterprise AI Hub for Insurance Brokerage Operations
Role: AI Architect / Solution Architect / Pre-sales Technical Lead
- Designed an enterprise AI Hub concept to centralize AI-powered applications for insurance brokerage and agency operations.
- Proposed architecture using modern web application patterns, AI orchestration, Azure AI Foundry, Azure OpenAI, LangChain, backend APIs, asynchronous processing, and secure enterprise access.
- Defined AI capabilities including context-aware chat, internal knowledge support, workflow assistance, document-based Q&A, and controlled AI task automation.
- Prepared technical proposal content covering solution architecture, delivery approach, AI governance assumptions, security considerations, integration boundaries, and implementation roadmap.
Impact: Positioned the solution as a secure, extensible AI platform that could support multiple business use cases while keeping AI adoption controlled, governed, and enterprise-ready.
AI-enabled Knowledge & Document Review Platform
Role: AI Architect / Solution Architect
- Designed an AI-assisted platform for checking, comparing, and validating information from approved sources, URLs, documents, and linked PDF content.
- Proposed AI orchestration using retrieval planning, source comparison, guardrail checks, citation validation, draft generation, and reviewer support.
- Defined controlled AI skill boundaries to avoid positioning the solution as uncontrolled autonomous agents, keeping the MVP practical and delivery-focused.
- Prepared solution content covering Azure OpenAI assumptions, guardrails, review workflow, auditability, source traceability, token limits, asynchronous processing, and NFR assumptions.
Impact: Converted a broad GenAI requirement into a controlled enterprise AI workflow with clear MVP boundaries, reviewer oversight, and reduced delivery risk.
AI-assisted Vehicle Damage Assessment Platform
Role: Solution Architect / AI Solution Contributor
- Supported solution shaping for an AI-assisted vehicle damage assessment platform focused on faster, more consistent, and more transparent damage evaluation.
- Contributed to architecture thinking around AI-guided image capture, OCR/VIN recognition, automated documentation, media handling, reviewer-assisted workflows, and remote assessment support.
- Helped define MVP scope, delivery assumptions, cloud architecture considerations, AI workflow boundaries, integration approach, and investor-facing technical narrative.
- Structured proposal content to balance product ambition, implementation feasibility, operational control, and future platform extensibility.
Impact: Transformed an AI product vision into a clearer technical and delivery roadmap suitable for enterprise and investor-facing evaluation.
Data Labelling and AI Data Operations Platform
Role: AI Solution Architect / Technical Proposal Contributor
- Supported solution thinking for a data labelling platform designed to support AI training, annotation workflows, quality review, and labelled dataset management.
- Defined platform considerations around task assignment, annotation workflow, reviewer approval, quality control, dataset traceability, user roles, and operational reporting.
- Considered how labelled data can be prepared, validated, governed, and reused for downstream AI model training or evaluation.
- Helped shape MVP boundaries to separate core labelling workflow from advanced AI automation, model training, or large-scale MLOps capabilities.
Impact: Positioned the platform as an AI data foundation capability, supporting more reliable dataset preparation, review control, and future AI model improvement.
Commerce, Membership & Incentive Decision Platform
Role: Solution Architect
- Designed MVP architecture for a commerce-enabled platform involving members, merchants, influencers, fundraisers, campaign incentives, pricing rules, attribution, allocation, and ledger capabilities.
- Defined core domain components including participant management, commerce operations, membership management, decision engine, rule engine, allocation engine, ledger, e-commerce integration, and analytics layer.
- Helped clarify MVP scope, workflow boundaries, rule complexity, e-commerce integration assumptions, payout management, protected margin logic, and operational responsibilities.
- Structured the solution around configurable rules, clear domain ownership, integration boundaries, and future intelligence/analytics capability.
Impact: Converted a broad business concept into a structured decision platform MVP with clearer domain boundaries, economic logic, integration scope, and delivery assumptions.
Digital Platform Security Hardening & Production Risk Remediation
Role: SWAT / Solution Architect / Technical Reviewer
- Assessed security, dependency, CI/CD, performance, scalability, and production stability issues across multiple repositories.
- Grouped remediation scope by priority, business impact, technical risk, and delivery feasibility.
- Defined WBS items and assumptions covering authentication hardening, SQL injection mitigation, OAuth token protection, dependency stabilization, CI improvements, testability, and baseline automated testing.
- Helped reduce estimation ambiguity by converting technical findings into executable work packages with clear assumptions and implementation boundaries.
Impact: Created a practical risk-based remediation roadmap that helped stakeholders understand what should be fixed first, why it mattered, and how it could be delivered.
Enterprise Logistics Platform Modernization
Role: Solution Architect / Pre-sales Technical Lead
- Designed a phased cloud modernization approach for a legacy logistics platform, focusing on functional parity, customer migration, operational continuity, and future extensibility.
- Proposed architecture covering customer portal, API services, operational databases, Azure-hosted implementation, distributed caching, integration services, CI/CD, monitoring, diagnostics, and security configuration.
- Defined event-driven integration patterns using Azure Service Bus to decouple operational systems and support future scalability.
- Supported solution scope covering freight service extension, tracking store, tracking APIs, event publishing, event subscription, and unified tracking capability.
- Clarified delivery assumptions around backward compatibility, phased migration, customer disruption reduction, operational ownership, and technical governance.
Impact: Converted a complex legacy logistics modernization requirement into a structured phased delivery approach with clearer scope, migration strategy, and integration roadmap.
Charity Donation Platform Modernization
Role: Solution Architect / Technical Proposal Contributor
- Supported modernization thinking for a charity donation platform, focusing on application maintainability, platform stability, integration readiness, and future scalability.
- Helped shape technical scope around platform modernization, operational improvement, secure integration, and delivery planning.
- Contributed to solution structuring by separating modernization scope from future product enhancement or major functional redesign.
- Defined practical assumptions to reduce delivery uncertainty and support phased implementation planning.
Impact: Helped position the modernization effort as a controlled platform improvement initiative rather than an open-ended rebuild.
Cloud Cost, Performance & Security Optimization Initiatives
Role: Cloud Architect / Training Lead / Technical Advisor
- Supported cloud optimization initiatives covering cost analysis, performance tuning, security posture, compliance considerations, and Well-Architected review practices.
- Developed reusable guidance around cloud cost control, workload sizing, observability, security hardening, and performance optimization.
- Delivered enablement sessions to help engineering teams apply practical cloud optimization techniques in real project contexts.
- Promoted architecture review practices that balance scalability, reliability, security, operational excellence, and cost efficiency.
Impact: Improved engineering awareness and repeatable practices around cloud cost, security, performance, and operational readiness.
Engineering Capability Development & Internal Training Programs
Role: Engineering Manager / Community Leader / Technical Trainer
- Built and led technical enablement programs across AWS, backend engineering, AI, security, performance optimization, and architecture modeling.
- Designed training content for AWS EKS, AWS Cost Optimization, AWS Performance Tuning, AWS Security & Compliance, AWS Well-Architected Framework, Integration Services, Advanced Node.js, Golang, Python, LangChain, Security Best Practices on AWS, and C4 Model.
- Mentored engineers and technical leads on solution thinking, backend architecture, cloud-native design, AI adoption, and technical communication.
- Supported capability planning for engineering groups across LAMP, Node.js, Python, and AWS practices.
Impact: Strengthened internal engineering capability, improved technical readiness, and promoted a stronger architecture-driven engineering culture.
Training & Community Leadership
Designed and delivered internal technical enablement programs to strengthen engineering capability across cloud, backend development, AI, security, performance optimization, and architecture practices.
Key Training Programs
- LangChain
- AWS EKS in Practice
- AWS Cost Optimization
- AWS Performance Tuning Optimization
- AWS Security and Compliance Optimization
- AWS Well-Architected Framework
- AWS Workshop Integration Service
- Security Best Practices on AWS
- FullStack Node.js / Advanced Node.js
- Golang Fundamentals
- Python Fundamentals
- C4 Model
Training & Enablement Impact
- Built structured training content for developers, technical leads, and solution design teams.
- Promoted practical engineering standards across AWS, backend architecture, AI adoption, security, performance, and system modeling.
- Mentored engineers on cloud-native design, backend engineering, solution thinking, and architecture communication.
- Helped improve internal technical capability through workshops, community sessions, hands-on labs, and reusable learning materials.
Technical Skills
Cloud Platforms: AWS, Azure, GCP
AWS: EKS, Cost Optimization, Well-Architected Framework, Security Best Practices, Performance Optimization, Integration Services
AI / GenAI: LangChain, RAG, AI Orchestration, Guardrails, Agentic AI Concepts, Prompt Engineering, Human-in-the-loop Review
Architecture: Solution Architecture, Cloud Architecture, AI Architecture, Integration Architecture, Event-driven Architecture, C4 Model, Technical Proposal, WBS
Backend: Node.js, Python, PHP, Golang Fundamentals, REST API, Microservices
Frontend / Full Stack: React.js, Next.js, Angular, FullStack Application Design
DevOps / Engineering: CI/CD, Docker, Kubernetes, Observability, Logging, Monitoring, Security Hardening
Database / Data: PostgreSQL, SQL Server, MySQL, MongoDB, Redis, Vector Database Concepts
Leadership: Engineering Management, Pre-sales, SWAT, Training, Mentoring, Stakeholder Management
Experiences
Solution Architect (2020 – Now)
| Project | EgM Resource Development |
| Duration | 17-Jul-2023 – Current |
| Role | Solution Architect |
| Description | The technical team gathers highly skilled resources who work together to define, plan, and execute the main activities to develop technical competencies and a workforce that aligns with the company’s strategy. Those top technical skilled resources also join R&D cutting-edge technologies, assist project teams in quickly overcoming ad-hoc technical challenges, propose and design the architecture for new projects, and help the company’s developers catch up with new technologies in the chaotic software development world. |
| Technology | Language: ReactJS, Angular, Phonegap/Cordova, Java, PHP, Python, JavaScript, WebAPI, GraphQL, RabbitMQ, Laravel, Symphony, Node.js, Yii, Drupal, WordPress, Magento, Moodle. Cloud: AWS, GCP Database: PostgreSQL, SQL, MySQL, MongoDB, Kafka DevOps: Jenkins, TeamCity, Octopus, AWS Pipeline, K8s, etc. Others: Redis, Memcached. |
| My Responsibility |
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| Project | R&D and SWAT Activities |
| Duration | Jul-2015 – Current |
| Role | Technical Architect Solution Architect |
| Description | SWAT is the problem-resolving team. If projects have problems and need support, we will come to the project to investigate the root cause and find a solution. We must also arrange times to check with the project team when a project is running. This progress helps our company ensure project quality, and our SWAT team can quickly support the project as needed. Our mission is to help projects run smoothly and reach the target. |
| Technology | Many skills are applied to resolve problems in projects: Technology and non-technology. Sometimes, we need to discuss with clients to clarify their system limitations and how to resolve them, as well as which technology we need to apply. Sometimes, it is just technology. What’s wrong with applying new tech? Why don’t we use this, not that? How can we catch up with new trends? I support almost all LAMP stacks, Node.js, and AWS Cloud. I support Java, Database, or DevOp stacks in some exceptional cases. |
| My Responsibility |
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| Project | PRESALES NON-PRODUCTION |
| Duration | Aug 2015 – Now |
| Role | Technical Architect Solution Architect |
| Description | Presale Support refers to the activities and resources provided by a company to assist sales teams or customers before a sale is made. It is a crucial phase in the sales process, especially in complex or high-value transactions, such as in B2B or technology sales. Presale support is aimed at convincing potential clients of the value and benefits of a product or service, and it often involves technical, strategic, and consultative activities. |
| Technology | Solution: Cloud, AWS, CI-CD, MSA, Security, Deployment, Blockchain Languages: PHP, Python, NodeJS, ReactJS, Angular, AngularJS Database: MySQL, Postgres, MongoDB Others: RabbitMQ, WebSocket, etc. |
| My Responsibility |
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| Project | Rental Car |
| Duration | 01-Nov-2023 – 31-Jan-2024 |
| Role | Solution Architect |
| Description | The company is a premium rental car service. Clients can rent luxury cars (Land Rover, Jaguar, etc.) on the web and iOS app. Client’s drivers will deliver cars to their door and pick them up when done. Location : UK Domain : Rental Car |
| Technology | Languages: Python, GCP, Next.js, Java, Swift Integrated Systems: Salesforce Marketing Cloud, MailChimp, Stripe, OnFleet, FullStory, Lokalise, Firebase, GTM, KYC (Onfido), RISC System – BVRLA (risconline.com), DVLA (licencecheck.co.uk), Twilio, Google Map, Invoice (Debitoor), Facebook Business Database: DataStore, BigQuery Report & Analyze: Google Data Studio Cloud: GCP – AppEngine, Virtual Machine, PubSub, TaskQueue, Cron, Google Storage Architecture: Message Queue, Event-Driven, Serverless, Cloud-Native |
| My Responsibility |
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| Project | Warehouse Observability System |
| Duration | 03/2024 – 04/2024 |
| Role | Solution Architect |
| Description | The client provides logistics transportation services & conducts auto parts logistics businesses. The client want to rebuild a whole WMS package. Firstly, they want to migrate the legacy VB system to Java and deploy it in a newly built warehouse. After that, the system will be applied to other locations across Japan. In this project, they want to build the full AWS Observability that can adapt to level 3. Before that, they want to have knowledge, and a detailed approach based on the current system from our side. After that, they want to make the automation system ready to deploy to a new future system. Location : JPN Domain : Logistic |
| Technology | Backend: Java 11, Spring boot 2.7.0+ (Spring data JPA, Spring Security) Web frontend: ReactJS or Angular, CloudFront AWS: S3, Amazon Incognito, Amazon Application Load balancer, Amazon SQS, Aurora PostgreSQL, CloudFormation Observability: AWS CloudTrail, AWS CloudWatch, AWS X-Ray, Amazon Managed Grafana, AWS Managed Services (AMS), OpenTelemetry |
| My Responsibility |
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| Project | Gambling: TAS Project |
| Duration | 17-Oct-2022 – 15-May-2023 |
| Role | Solution Architect |
| Description | The client is a gambling company. It provides wagering and gaming products and services in Australia. The client already has a fully functioning system in NSW, and now the company needs to implement it in Tasmania (TAS). Therefore, the client requires our support in analyzing the current project, defining the approach, and establishing a collaboration framework to implement it in TAS successfully. Location : AUS Domain : Gambling |
| Technology | AWS Services: EKS, MSK, Glue, Redshift, RDS, Aurora, Elasticsearch, IAM, Networking, EC2, EBS, Route 53, S3, CloudFormation Infrastructure as Code: Ansible Playbook, AWS CloudFormation Microservices: AWS EKS, Docker, Kubernetes Micro-frontend: Angular Architects, Module Federation Single Sign-On, OpenID Connect: Redhat SSO, Keycloak ETL, Data Warehouse: AWS Glue, AWS Redshift, AWS Lambda, Apache NIFI CI/CD: GoCD, DroneCI, Aqua Scan, Sonar Scan Databases: MongoDB, SQL Server, PostgreSQL, Oracle Stack: MEAN Programming Language: Python, TypeScript, NodeJS, SCSS, Bash Shell Documentation: C4 Model, Mermaid, Confluence Real-time Messaging System, Event Streaming: AWS MSK, Kafka, AVRO Schema, STOMP, WebSocket, RabbitMQ Logging & Monitoring: New Relic, Kibana, Elasticsearch |
| My Responsibility |
After finalizing and signing the project contract:
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| Project | Gambling: NSW Casino Project |
| Duration | 06-Feb-2023 – 31-Mar-2023 |
| Role | Solution Architect |
| Description | The client is a gambling company. It provides wagering and gaming products and services in Australia. They need to add a big casino to their current system, so they need us to analyze and prepare to implement tasks. Location : AUS Domain : Gambling |
| Technology | AWS Services: EKS, MSK, Glue, Redshift, RDS, Aurora, Elasticsearch, IAM, Networking, EC2, EBS, Route 53, S3, CloudFormation Infrastructure as Code: Ansible Playbook, AWS CloudFormation Microservices: AWS EKS, Docker, Kubernetes Micro-frontend: Angular Architects, Module Federation Single Sign-On, OpenID Connect: Redhat SSO, Keycloak ETL, Data Warehouse: AWS Glue, AWS Redshift, AWS Lambda, Apache NIFI CI/CD: GoCD, DroneCI, Aqua Scan, Sonar Scan Databases: MongoDB, SQL Server Stack: MEAN Programming Language: Python, TypeScript, NodeJS, SCSS, Bash Shell Documentation: C4 Model, Mermaid, Confluence Real-time Messaging System, Event Streaming: AWS MSK, Kafka, AVRO Schema, STOMP, WebSocket, RabbitMQ Logging & Monitoring: New Relic, Kibana, Elasticsearch |
| My Responsibility |
After finalizing and signing the project contract:
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| Project | Gambling: NSW project |
| Duration | 08-May-2019 – 14-Oct-2022 |
| Role | Technical Architect Solution Architect |
| Description | The client is a gambling company. The organization operates market-leading businesses and is Australia’s largest provider of lotteries, Keno, wagering, and gaming products and services. They are developing new services in their MicroService system, a platform for users and Regulators to manage, create, review/approve, and apply new specifications for all gaming venues in Australia. They are also developing a live data API to update data from gaming machines and a customer retention service to improve their services to gamblers. This system is just a part of their gaming ecosystem. Location : AUS Domain : Gambling |
| Technology | Cloud: AWS (EKS, EC2, S3, ECR), AWS Workspace CI/CD: Rancher, Drone, Artifactory Languages: NodeJS, Angular, React, Swagger Database: Mongo, MSSQL SSO: Redhat SSO Keycloak Streaming: Kafka, Kafka-avro Container-orchestration: K8s Architect: Micro-frontend, Mircro-service |
| My Responsibility |
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Technical Architect (2015 – 2020)
| Project | US Healthcare System |
| Duration | Oct 2017 – Apr 2019 |
| Role | Technical Architect |
| Description | Our client is at a College in New York. They want to build a healthcare system that helps patients quickly contact their doctors (nurses) and doctors (nurses) to track health indications easily. Patients will also have hand-held wearable devices that stream their healthy signals to our systems. At the interconnect centers, doctors (nurses) can see their patients’ signals on the dashboard and will be alarmed when they break any dangerous limit. Patients can call the center, and the center can create a group to invite more doctors and nurses for support. The system is a multi-tenant project. Each tenant can manage their accounts, assign permission, and manage their patients. Location : US Domain : Healthcare |
| Technology | Cloud: AWS (EKS, EC2, S3, ECR) CI/CD: Jenkins Languages: NodeJS, Angular, SenecaJS Database: MongoDB, MySQL, Redis, Postgres Streaming: RabbitMQ Container-orchestration: K8s Container Platform: Docker Mobile: IOS (Swift), Android TV, Amazon Echo Architect: Micro Service (MSA) Searching Engine: ElasticSearch |
| My Responsibility |
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| Project | Logistic: Voyage Control Project |
| Duration | 03-Jan-2019 – 08-Mar-2019 |
| Role | Technical Architect |
| Description | The client provides the logistic services. They need to manage and renovate a system that provides logistic tracking/routing for logistic companies and ports. In this project: – They can track traffic data from their drivers. – They can estimate and arrange their work in the ports with the input of some logistic data. – The system needs to integrate with other systems to get the needed data for calculation. Location : UK Domain : Logistic |
| Technology | Cloud: EC2, S3, ECR, Fargate, CloudFront Front-end: Angular.js Back-end: Node.js, Python (Django) CI/CD: Jenkins Database: MySQL |
| My Responsibility |
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| Project | Truck Tiers Project |
| Duration | Feb 2017 – Oct 2017 |
| Role | Technical Architect |
| Description | The client is a technology startup specializing in solutions for eCommerce channels, marketplaces, social platforms, and big data analytics within the Automotive industry. Our collaboration aims to provide the client with a skilled and professional workforce to build and maintain an end-to-end eCommerce solution, beginning with a truck tire purchasing platform. My company will supply an offshore team responsible for developing the truck tire eCommerce web application, which will serve as the ‘front-end’ system that interfaces with customers. Additionally, the team will develop the back-end systems surrounding the web app, creating an ecosystem that supports the entire business process, including sales, logistics, finance, and data analytics. Location : UK Domain : eCommerce |
| Technology | Back-end: PHP, .NET, C#, WebAPI, Elastic Search, Kibana Front-end: AngularJS, KnockoutJS, Bootstrap Database: SQL Server, MySQL Front-end Caching: Varnish E-commerce Platform: Magento 2x Cloud: AWS EC2 CI-CD: CircleCI |
| My Responsibility | Develop the framework, design document, and implement the project’s core.Ensure the project team follows strictly coding conventions and best practices.Responsible for technical/ architecture discussion and ensuring that any change to architecture is reviewed/approved by the client technical team.Provide the orientation for technical design to all developers.Review the impact analysis for changes in the client’s dependencies.Regularly perform the detailed design review team leads and suggest improvements.Regularly perform the code review on primary/essential modules and raise issue work items for failures.Plan and execute training for team members.Management of source control branches in line with strategy.Feed technical issues and risks into PM every week. |
| Project | Human Resource Management System |
| Duration | Oct 2016 – Aug 2018 |
| Role | Technical Architect |
| Description | This system allows facilities to become more financially sustainable by managing rosters and optimizing workforce management. Support multi-tenancy, deploy on AWS, support CI-CD. KPI Dashboard: Gain real-time insights into staff costs, facility occupancy, and funding for dynamic workforce decisions. Time and Attendance: Automate time tracking to improve compliance and productivity. Rostering: Optimize staff coverage based on care requirements for every shift. Employee Kiosk: Enable employees to manage their time and availability via mobile devices. Award Interpretation: Simplify award and EBA interpretation with easy-to-use timesheets. Payroll Integration: Streamline data entry and reduce payroll errors with seamless integration. Skills & Compliance: Track skills, training, and qualifications to ensure regulatory compliance. Reporting & Analysis: Access real-time reporting to address challenges quickly. Absence Management: Simplify leave management with an employee-empowering workflow. |
| Technology | Front-end: ReactJS, SocketCluster Back-end: NodeJS, SocketCluster Database: Postgres Caching: Redis Cloud: AWS |
| My Responsibility | Develop the framework, design document, and implement the project’s core.Ensure the project team follows strictly coding conventions and best practices.Responsible for technical/ architecture discussion and ensuring that any change to architecture is reviewed/approved by the client technical team.Provide the orientation for technical design to all developers.Review the impact analysis for changes in the client’s dependencies.Regularly perform the detailed design review team leads and suggest improvements.Regularly perform the code review on primary/essential modules and raise issue work items for failures.Plan and execute training for team members.Management of source control branches in line with strategy. |
My Education
| Major | University & College | Graduated Year |
|---|---|---|
| Bachelor of Engineering – Computer Science | NIIT | 2004 |
| Bachelor of Engineering – Computer Science | Lotus College | 2003 |
My Workplaces
| Solution Architect NashTech Vietnam 07/2015 – Current |
| Freelancer – Director Golden Solution Company Oct 2009 – Sep 2014 |
| Development Team Lead VNG Corporation Feb 2008 – Oct 2009 |
| Development Team Lead Liquidline Studio Feb 2007 – Feb 2008 |
| Project Manager Vanvi Company Aug 2006 – Feb 2007 |
| Web Programmer Losco Dec 2005 – Aug 2006 |
| Software Developer Scitec Company Nov 2004 – Nov 2005 |
| Software Developer Visionex Feb 2004 – Oct 2004 |
VuiLenDi 