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AI Agent Developer & Data Engineer. Top 1% on Upwork: Top Rated Plus, 100% Job Success, 5.0★ (150+ reviews). I build production AI agents, RAG chatbots, LLM apps, AI automation, ETL data pipelines and web scraping. Founder of Van Data Team: 20+ AI products shipped, 9 of them live public platforms, for clients across the US, EU, and APAC. 🚀 WHAT I'VE SHIPPED (live products, real numbers) - Enterprise AI assistant: LangGraph Supervisor routing sub-agents across 70+ MCP tool integrations; web, PWA, iOS & Android from one React codebase - AI cybersecurity platform: fine-tuned Mistral 7B on 424k training samples; Neo4j knowledge graph + RAG - EdTech RAG platform: raised answer accuracy from ~80% to 95%+ (pgvector, LangChain, Claude) - Multi-tenant enterprise AI suite: 5-agent architecture with persistent memory, running at 94.7% platform health - Sales-KPI AI dashboard: cut LLM cost by 92% with Claude Haiku - My own SaaS: multi-tenant AI content agents, personalized per tenant (live product, see Portfolio section) 💬 AI AGENTS, AI CHATBOTS & LLM / GENERATIVE AI APPS (Full-Stack) - AI Agent Development: autonomous agents with tool calling, multi-step reasoning, and decision-making (LangGraph, LangChain, MCP) - Multi-Agent Systems: supervisor patterns, agent-to-agent communication, task delegation, workflow orchestration - AI Chatbot Development: customer-service bots, document Q&A, and conversational AI grounded in your business data (RAG / Retrieval-Augmented Generation, no hallucinations) - Custom MCP servers: turn your internal tools into capabilities for Claude, Cursor, and other LLM clients - Models & APIs: Claude (Anthropic), OpenAI API (GPT-4/4o), Gemini, DeepSeek, Llama 3, Hugging Face; AWS Bedrock, Azure OpenAI, Vertex AI - Vector databases: Pinecone, Milvus, ChromaDB, pgvector, FAISS + Neo4j graphs - Observability, evals & fine-tuning: LangSmith, Langfuse; LLM fine-tuning and machine learning for domain-specific tasks - Frontend: Next.js, React, TypeScript, Tailwind. Backend: Python (FastAPI, Flask, Django), NestJS, Node.js/Express, GraphQL Perfect for: AI automation, support automation, sales chatbots, document Q&A, intelligent search, workflow and business-process automation. ⚡ DATA ENGINEERING & ETL PIPELINES Production data infrastructure processing millions of records: - Pipelines: Apache Spark, Airflow, Dagster, dbt • Streaming: Kafka - Batch: AWS Glue, Google Dataflow, Azure Data Factory - Warehouses: BigQuery, Snowflake, Redshift, Athena, with optimized schemas plus HIPAA-style audit & lineage - Zero-downtime migrations to cloud warehouses 🕷️ WEB SCRAPING & DATA EXTRACTION - Platforms: Facebook, TikTok, LinkedIn, Shopify, HubSpot, QuickBooks, SaaS portals - Tools: Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, Crawl4AI - Anti-bot: Cloudflare, CAPTCHA, rate limiting, solved with proxy rotation & monitoring - Output: clean CSV/JSON, SQL databases, or a ready-to-use API ☁️ CLOUD & DEVOPS AWS (Lambda, ECS Fargate, Glue, Athena, Redshift, SQS, EventBridge, EMR) • GCP (BigQuery, Cloud Run, Dataflow, Dataproc) • Azure (Data Factory, Databricks) • Docker, Kubernetes, Terraform, GitHub Actions & GitLab CI/CD • Monitoring: CloudWatch, Datadog, Prometheus, Grafana ✅ WHY CLIENTS PICK ME - Founder-led, senior-only execution: you work with me directly, no agency layer - AI-native workflow (Claude Code, Cursor, Copilot): 2-3x faster delivery, production quality - 6+ years across AI engineering, data engineering, and full-stack development - End-to-end ownership: architecture → code → deployment → monitoring - Clear communication: regular updates, transparent workflow, overlap with US/EU hours Let's build your AI solution. Send an invite or message me, and I'll reply with a concrete plan within hours.

Software Developer with 2 years experience enhancing user experience. Experienced in designing for models, as well as testing and debugging. Knows Vue, React, Django, MySQL, Firebase, Elasticsearch, Scrapy, Docker, Nginx.

Software Engineer with 10 years of experience building SaaS products, internal platforms, and cloud-native applications. I've worked across startups, outsourcing companies, and large organizations, helping teams build and scale products from early-stage MVPs to production systems serving thousands of users. My experience spans multiple technology stacks, including Node.js, Python, Rust, React, Next.js, PostgreSQL, and AWS. Throughout my career, I've worked with frameworks such as Django, FastAPI, Laravel, Ruby on Rails, and NestJS, allowing me to adapt quickly to different products and engineering environments. Areas where I bring the most value: ✔ Full-stack web application development ✔ Backend systems and API design ✔ Cloud infrastructure and DevOps on AWS ✔ AI-powered applications using OpenAI, Claude, and modern LLM technologies ✔ Workflow automation and system integrations Recent areas of focus: ✔ AI chatbots and copilots ✔ RAG and knowledge-based AI systems ✔ AI agents and workflow automation ✔ Serverless and cloud-native architectures ✔ SaaS product development Core technologies: Node.js, Python, Rust, TypeScript, React, Next.js, PostgreSQL, AWS, Docker, Terraform, OpenAI, Claude, n8n

🚀 I Build Scalable Software Systems That Don’t Break When You Grow Most developers write code. I design systems that survive scale. With 5+ years of experience as a Full-Stack & AI/ML Engineer, I architect and deliver high-performance systems used by global users, from AI-driven platforms to enterprise-grade distributed systems. 💡 What I Help You Achieve 🏗 Enterprise-Grade Architecture Scaling is not about adding servers later. It is about designing the right foundation from day one. I design: • Microservices and event-driven architectures • High-availability distributed systems • Horizontal auto-scaling infrastructure • Zero-downtime deployments • Load balancing and intelligent caching • Rate limiting and anti-DDoS strategies • Multi-tenant SaaS architecture Tech stack: • FastAPI, Django, Flask, Express.js, NestJS • Go, Java Spring, ASP.NET, Ruby • Docker, Kubernetes, AWS, Nginx, Linux • CI/CD pipelines, monitoring, logging systems • From MVP to enterprise-level traffic without rewriting the system later. 🧠 AI-Integrated Software Systems AI functions as an infrastructure layer inside modern applications. Experience includes: • NLP, OCR, facial and speech recognition • Intelligent search systems with vector databases • RAG pipelines and knowledge systems • Multi-model orchestration systems • GPU-optimized inference pipelines Frameworks and tools: • PyTorch, TensorFlow, Keras, scikit-learn • Whisper, Tesseract, PaddleOCR • DeepFace, InsightFace • Elasticsearch, Pinecone • CUDA, cuDNN Focus areas: performance, cost efficiency, production readiness, scalability. ⚡ Backend Engineering • RESTful APIs and GraphQL • Event-driven systems • Queue-based processing • Background job orchestration • Secure authentication and authorization Databases: • PostgreSQL, MySQL, MongoDB • Query optimization, indexing, full-text and vector search Databases and Optimization • PostgreSQL, MySQL, and MongoDB • Query optimization, indexing strategies, and search systems 🎯 Frontend Engineering • React, Next.js, Vue, Nuxt, Angular • SEO optimization • Performance tuning • Lazy loading and caching strategies • Responsive and scalable UI architecture 🌐 Real-Time Systems • WebRTC, MQTT, Socket • Streaming systems • Telecom systems Designed for low latency, high concurrency, and production reliability. 📱 Cross-Platform Development • Flutter • React Native • Native Android • Firebase ecosystem 🌟 Professional Approach • Systems thinking mindset • Scalability-focused architecture • Long-term maintainability • Clear communication • Reliable delivery 🌟 Why Clients Hire Me Not because I list technologies. But because I understand: • Business logic • Scalability constraints • Infrastructure costs • Security risks • Long-term maintainability I think like a technical founder or CTO. I don’t just build features. I design systems that support growth. 📈 Let’s Build It the Right Way If you need: • A SaaS platform built from scratch • A scalable enterprise backend • AI integrated into your product • A system redesign for performance • An architecture that can scale without limits Let’s build it properly from day one. Because great software isn’t just written. It’s engineered.

Hi, I'm Tinh — a Senior Full-Stack Engineer with 9 years of experience building production-ready software, AI-powered products, SaaS platforms, internal tools, and business automations. I help companies turn ideas and business requirements into reliable, scalable products—from discovery and technical planning to architecture, development, testing, deployment, and ongoing improvement. My core expertise includes React, Next.js, TypeScript, Node.js, Golang, PostgreSQL, MongoDB, AWS/GCP, and modern cloud infrastructure. I also build AI-powered systems using LLMs, RAG, vector databases, semantic search, and AI automation. 🤖 AI, LLM & Automation * OpenAI API, LangChain, LlamaIndex * RAG systems and AI-powered applications * Document ingestion, chunking, embeddings, retrieval & generation * Vector databases: Pinecone, Weaviate, FAISS, pgvector * Hugging Face Transformers * AI agents, workflow automation & business process automation * Prompt engineering and AI-assisted product development 💻 Full-Stack Development * React, Next.js, Vue.js, TypeScript * Node.js, NestJS, Golang * REST APIs & GraphQL * PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch * Prisma, TypeORM * Authentication, authorization, background jobs & real-time systems * Microservices and scalable system architecture ☁️ Cloud, DevOps & Production * AWS, GCP * Docker, Kubernetes, Nginx * CI/CD and automated deployments * Cloud architecture and infrastructure automation * Production monitoring, performance optimization & security 📱 Mobile & Desktop * React Native, Flutter, Swift, Kotlin * Expo & Firebase * Electron, Tauri * .NET (WPF/WinForms), JavaFX, PyQt Why clients work with me * End-to-end ownership — from business requirements and architecture to production * Strong technical judgment — I challenge assumptions and choose practical solutions rather than over-engineering * AI-native development — I use AI throughout research, planning, implementation, debugging, testing, and documentation while maintaining engineering quality * Production mindset — secure, maintainable, scalable software that is built to last * Clear communication — proactive updates, honest tradeoffs, and early communication when issues arise * Reliable delivery — focused on shipping, not just writing code I can help with: → AI-powered SaaS products → Custom web applications → Internal business tools → Business process automation → RAG & knowledge systems → APIs and backend platforms → Cloud-native applications → Mobile & desktop applications → Legacy system modernization If you have a product idea, an existing system that needs improvement, or a business process that should be automated, I can help take it from concept to production. Let's build something that works—and works well. Thanks, Tinh

Technical Leadership: Driving architectural decisions, designing microservices, and ensuring code quality across the full stack. Backend Development: Expertise in Java (8+), Spring Boot, Hibernate, API design (REST/SOAP/gRPC), and database management (SQL/NoSQL). Frontend Development: Developing responsive, user-facing interfaces using frameworks like React or Angular. System Design & Optimization: Creating secure, scalable applications and improving performance. CI/CD & DevOps: Utilizing tools like Docker, Kubernetes, Terraform, and Jenkins for deployment, OpenSearch, RabbitMQ, Kafka, Kibana. Experiences with AI technology, Clause AI, Cursor, ChatGPT