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I build AI-powered web applications, personalized chatbots for businesses, scalable data pipelines, and intelligent automation systems. Specialized in LangChain, RAG, Next.js, FastAPI, and cloud deployment. 💬 AI Web & App Development (Full-Stack) Custom AI chatbots and intelligent web applications for SMBs: - AI Chatbots: Personalized customer service bots, knowledge bases, and conversational AI using LangChain, LangGraph, and RAG - AI Agent Development: Build autonomous AI agents with tool calling, multi-step reasoning, and decision-making capabilities - Multi-Agent Systems: Agent-to-agent communication for complex workflows, task delegation, and collaborative problem-solving - Personalized AI for SMBs: Custom AI solutions trained on your business data, documents, and knowledge base for intelligent automation - Frontend: Next.js, React.js, TypeScript with modern, responsive UI design - Backend: FastAPI, Flask, Django, Node.js Express for high-performance APIs - Vector Databases: Pinecone, Milvus, ChromaDB for semantic search and intelligent retrieval - AI Tools: Claude Code, Cursor IDE, GitHub Copilot for rapid development - Deployment: AWS, GCP, Azure, Digital Ocean with Docker and Kubernetes - Methodologies: Agile Scrum and Waterfall development workflows Perfect for: Customer support automation, sales chatbots, document Q&A, intelligent search, business process automation ⚡ Data Engineering & ETL Pipelines Production data infrastructure processing millions of records: - Pipelines: Apache Spark, Airflow, Dagster for automated ETL workflows - Streaming: Kafka for real-time data processing and event-driven systems - Batch Processing: AWS Glue, Google Dataflow, Azure Data Factory - Data Warehouses: BigQuery, Redshift, Snowflake with optimized schemas - Transformations: DBT models for data quality and business logic - Migration: Zero-downtime database migrations to cloud warehouses 🤖 AI & LLM Integration Production-ready AI systems with cutting-edge models: - LangChain: Build agents, workflows, and chains with LangGraph automation - RAG Systems: Vector embeddings and semantic search for intelligent retrieval - Models: Claude (Anthropic), GPT-4 (OpenAI), DeepSeek, Llama 3, Hugging Face - Observability: LangSmith and Langfuse for monitoring and debugging - APIs: AWS Bedrock, Azure OpenAI, Anthropic Claude integration - Fine-tuning: Custom model training for domain-specific tasks Use Cases: AI chatbots, document analysis, content generation, automation 🕷️ Web Scraping & Data Extraction Extract structured data from complex websites: - Platforms: Facebook, TikTok, LinkedIn, Shopify, HubSpot, QuickBooks, SaaS platforms - Tools: Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, Crawl4AI - Anti-Bot: Resolve Cloudflare, Captcha, rate limiting with proven techniques - Automation: Scheduled scraping with monitoring and proxy rotation - Output: Clean CSV, JSON, SQL databases, or API integration ☁️ Cloud Architecture & DevOps Scalable cloud infrastructure and deployment: - AWS: Lambda, ECS Fargate, Glue, Athena, Redshift, EventBridge, SNS, SQS, EMR - GCP: BigQuery, Cloud Run, Dataflow, Dataproc, Cloud Storage, Firestore - Azure: Data Factory, Power BI, Databricks, Blob Storage, Cosmos DB - DevOps: Docker, Kubernetes, Terraform, GitLab CI/CD, GitHub Actions - Monitoring: CloudWatch, Datadog, Prometheus, Grafana 💻 Core Technologies: - AI & ML: LangChain, LangGraph, OpenAI API, Claude API, DeepSeek, Llama, Hugging Face, RAG, vector embeddings, AI agents, multi-agent systems - Frontend: Next.js, React.js, TypeScript, Tailwind CSS - Backend: FastAPI, Flask, Django, Node.js, Express.js, GraphQL - Databases: Pinecone, Milvus, ChromaDB, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, DynamoDB - Big Data: Apache Spark, Kafka, Hadoop, Hive, Airflow, Dagster, DBT - Scraping: Scrapy, Playwright, Selenium, Puppeteer, Crawl4AI - Cloud: AWS, GCP, Azure, Digital Ocean - DevOps: Docker, Kubernetes, Terraform, Git, CI/CD - Languages: Python, SQL, JavaScript, TypeScript, R, Java, Bash - Tools: Claude Code, Cursor, GitHub Copilot - Management: Agile, Scrum, Waterfall, JIRA, Trello ✅ Why Hire Me: - Fast Delivery: AI-assisted development for 2-3x faster results - Production Quality: Clean, documented, maintainable code - Top Rated Plus: 100% Job Success Score, 5+ years experience - Full-Stack: Handle frontend, backend, database, and deployment - Clear Communication: Regular updates and transparent workflow Let's build your AI solution. Message me to discuss your project!

⏰ Available 24/7 – Long-term & High-impact Projects Hi, I’m Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures. I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms. 🧠 WHAT I SPECIALIZE IN 🏗️ Data Architecture & Platform Design - Designing modern lakehouse & warehouse architectures - dbt-first analytics engineering with testing, freshness & lineage - Event-driven and batch hybrid pipelines - Data quality frameworks & SLA monitoring - Customer-facing data explainability systems Tools: dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse ⚡ Database Performance Engineering - If your queries are slow, costs are high, or dashboards lag, This is my zone - Query plan analysis & index strategies - Warehouse cost optimization (Snowflake, BigQuery, Redshift) - OLTP & OLAP performance tuning - High-concurrency workload design 🔄 Reverse ETL & Operational Analytics - Syncing analytics back to CRMs & internal tools - Building real-time metrics pipelines - Feature-store style transformations 🕷️ Enterprise-grade Web Data Extraction - I don’t just scrape pages, I build durable data acquisition systems: - Complex ASP.NET, JS-heavy, authenticated & paginated systems - Anti-bot bypassing & failure-recovery pipelines - Headless browser automation + async scraping - Real-estate, finance, campaign-finance & marketplace platforms ☁️ Cloud Infrastructure - AWS | Azure | GCP - EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift - Terraform-based deployments - Cost-aware architectures - Kubernetes + Dockerized data services 🧪 What You Get Working With Me ✔️ Production-ready pipelines ✔️ Clean, testable dbt models ✔️ Well-documented architecture diagrams ✔️ Transparent data logic for non-technical stakeholders ✔️ Systems that scale beyond MVP ✔️ Honest advice and not over-engineering 🏆 Ideal Projects 👍 Data warehouse migrations 👍 Broken pipelines that need debugging & stabilization 👍 Analytics platforms that lack trust or explainability 👍 Performance bottlenecks costing thousands per month 👍 Long-term data platform ownership ❣️ Why Clients Stay Long-Term 🍀Clear communication 🍀 Business-first thinking 🍀 No black-box systems 🍀 I build systems others can maintain 🇻🇳🇻🇳🇻🇳🇻🇳 If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that. Let’s make your data system something you can confidently stand behind.

💡 Whether you need a new product built from scratch, help with cloud infrastructure, or expertise in digital signatures and security, I can help you deliver results. I bring together strong backend development skills with solid DevOps and cloud expertise, so you don’t just get code — you get a solution that’s ready for real-world growth. What I Can Do for You 💻 Software Development - Build robust back-end systems using Java or Python, Golang - Deliver production-ready APIs with Spring Boot, Django, Flask, FastAPI - Develop and customize enterprise platforms — including Warehouse Execution Systems (WES) and Warehouse Control Systems (WCS) at Fortna, covering order orchestration, inventory management, and integration with conveyors, sortation, and robotics in automated fulfillment centers 🤖 AI Agents & Automation - Design and build AI agent workflows that automate real business processes — data extraction, document processing, customer support, internal tooling, and reporting - Use AI tools (Claude, Cursor, Codex, LangChain-style orchestration) to ship products faster and reduce manual workload - Build custom integrations connecting AI agents to your existing systems (databases, APIs, internal dashboards) so automation actually fits into your workflow, not bolted on top of it 🗄 Databases & Data Engineering - Design and optimize databases (MySQL, MongoDB, Neo4j, Redis) - Build ETL pipelines and data warehouses (on-premise or cloud) - Web scraping & data processing with Selenium, BeautifulSoup, Scrapy, Airflow, Dagster, Playwright, ... ☁️ Cloud & DevOps - Deploy and manage apps on AWS and GCP - Automate infrastructure with Terraform - Ensure scalability with Kubernetes (K8s) - Set up monitoring dashboards with Prometheus & Grafana 🔐 Security & Digital Signatures - Implement digital signature workflows (PDF signing, PKI, CSC API) - Expertise with tools like iText, PDFBox, pyHanko, DSS Framework - Integrate cryptography & HSM solutions for compliance and security Why Clients Choose Me ✅ I don’t just code — I design, implement, and maintain full solutions. ✅ Strong focus on scalability, reliability, and security. ✅ Experience across product development, infrastructure, and consulting. ✅ Flexible: can work as a hands-on engineer or a technical consultant/partner.

Hey there! I am a Quant Developer and Python Specialist with a Master's degree in Quantitative Finance and 5+ years of experience building high-performance trading automation, custom exchange integrations, and financial data pipelines. With a 100% Job Success Score and a Top Rated Plus status, I specialize in taking complex quantitative strategies and translating them into robust, production-grade code. Here is what I bring to your project: 📊 Trading Automation & Bot Development - Custom execution engines & execution bots (Bybit, Binance, dYdX, OKX). - CCXT integrations: I am an active contributor to the CCXT library (e.g., successfully integrated EllipX and custom exchange architectures). - WebSocket-driven real-time order books, sub-second order placement, and rate-limit handling. - Implementation of automated strategies: Arbitrage, Grid, Market Making, and Sniper bots. 📈 Quantitative & Financial Data Engineering - High-frequency market data collection, cleaning, and storage. - Custom backtesting engines and risk management gates. - Financial analytics, portfolio metrics (Sharpe, drawdown, PnL tracking), and data modeling. 🛠️ Core Tech Stack: - Languages: Python (asyncio, pandas, numpy), JavaScript. - APIs & Protocols: CCXT, WebSocket, REST APIs, FIX protocol. - Environments: Linux, Docker, Postgres, QuestDB, Redis. Background & Credibility: - Master’s in Quantitative Finance (John von Neumann Institute). - 100% job success rate with verified 5-star feedback on complex custom bot projects. Let’s chat about your project requirements and turn your trading strategies into reliable, automated systems!

I'm a problem solver at heart. I love turning ideas into functional and useful products I’m highly proactive, self-motivated and take ownership of the work I do—thinking beyond tasks to ensure the overall success of the project My expertise: - Web development: + Full-stack and devops + Most proficient with Python and JS-based framework. Can survive Java, C or Golang projects - Project management: I've been working as technical leader/project manager in multiple software projects. - Atlassian expert: Know Atlassian ecosystem inside out, mostly by building Marketplace apps and integrated solutions - AI integration: Lately I've been working on developing AI agents that used GPT/Claude/Gemini models

✅ 𝗔𝗪𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 | ⭐ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 | ⭐ 𝟱★ 𝗥𝗲𝘃𝗶𝗲𝘄𝘀 | ✅ 𝟭𝟬+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 💬 𝙊𝙑𝙀𝙍𝙑𝙄𝙀𝙒 I help companies build scalable AWS infrastructure, deploy AI systems, and reduce cloud costs by 30–50%. If you're dealing with high AWS bills, slow deployments, or unreliable systems, I can design and implement production-ready solutions not prototypes. With 10+ years of experience and multiple certifications, I specialize in AWS DevOps, AI infrastructure, and automation for real-world systems at scale. 🚀 𝙒𝙃𝘼𝙏 𝙄 𝘿𝙊 ☁️ 𝘼𝙒𝙎 𝘿𝙀𝙑𝙊𝙋𝙎 & 𝘾𝙇𝙊𝙐𝘿 𝘼𝙍𝘾𝙃𝙄𝙏𝙀𝘾𝙏𝙐𝙍𝙀 ► Scalable infrastructure (EC2, VPC, RDS, S3, Lambda) ► CI/CD pipelines (GitHub Actions, Jenkins, CodePipeline) ► Infrastructure as Code (Terraform, CloudFormation) ► Docker & Kubernetes deployments ► Monitoring & logging (CloudWatch, Grafana) ► Security architecture & IAM management 🤖 𝘼𝙄 & 𝙇𝙇𝙈 𝙄𝙉𝙁𝙍𝘼𝙎𝙏𝙍𝙐𝘾𝙏𝙐𝙍𝙀 ► Deploy LLM apps (AWS Bedrock, OpenAI, Azure OpenAI) ► Build RAG pipelines and AI knowledge systems ► Vector databases (OpenSearch, Pinecone, pgvector, Chroma) ► Multi-agent AI systems and tool integrations 🧠 𝘼𝘿𝙑𝘼𝙉𝘾𝙀𝘿 𝘼𝙄 𝙀𝙉𝙂𝙄𝙉𝙀𝙀𝙍𝙄𝙉𝙂 ► Context Engineering (prompt design, memory, retrieval optimization) ► Harness Engineering (evaluation, testing, monitoring AI systems) ► AI workflow automation (LangChain, LlamaIndex, Step Functions) ► AI agents connected to APIs, databases, and Slack 📊 𝘿𝘼𝙏𝘼 𝙀𝙉𝙂𝙄𝙉𝙀𝙀𝙍𝙄𝙉𝙂 & 𝘼𝙐𝙏𝙊𝙈𝘼𝙏𝙄𝙊𝙉 ► Data pipelines (Glue, Athena, Spark, Airflow) ► Data lake and analytics architecture ► SQL / NoSQL systems (MySQL, PostgreSQL, DynamoDB, MongoDB) ► Reporting and analytics systems 💼 𝙀𝙓𝙋𝙀𝙍𝙄𝙀𝙉𝘾𝙀 ► Managed AWS infrastructure with $30k+/month spend (cost optimized) ► Built AI systems using AWS Bedrock + Lambda in production ► Designed CI/CD pipelines for containerized applications ► Architected data lake platforms (EMR, Glue, Athena) ► Automated DNS, infrastructure provisioning, multi-environment deployments ► Implemented IAM Identity Center for centralized access control 🧰 𝙏𝙀𝘾𝙃 𝙎𝙏𝘼𝘾𝙆 ☁️ Cloud: AWS, Azure ⚙️ DevOps: Docker, Kubernetes (EKS), ECS, Terraform, CloudFormation 🚀 CI/CD: GitHub Actions, Jenkins, AWS CodePipeline 🤖 AI/LLM: AWS Bedrock, OpenAI, Claude, LangChain, LlamaIndex, MCP, RAG, Vector Databases 📊 Data: MySQL, PostgreSQL, SQL Server, MongoDB, Redis, DynamoDB, OpenSearch 💻 Languages: Python, Bash, SQL, REST APIs 🏆 𝘾𝙀𝙍𝙏𝙄𝙁𝙄𝘾𝘼𝙏𝙄𝙊𝙉𝙎 ► AWS Certified DevOps Engineer – Professional ⭐ ► AWS Certified Solutions Architect ► AWS Certified Data Analytics – Specialty ► AWS Certified Security – Specialty ► Microsoft Azure Administrator Associate ► Cisco Certified Network Associate (CCNA) (Certificates available in Portfolio for verification) 💡 𝙒𝙃𝙔 𝘾𝙇𝙄𝙀𝙉𝙏𝙎 𝙒𝙊𝙍𝙆 𝙒𝙄𝙏𝙃 𝙈𝙀 ✔ Production-ready systems (not prototypes) ✔ Strong cost optimization mindset ✔ Clear communication and reliable delivery ✔ Fast response and problem-solving focus 💬 𝙇𝙀𝙏’𝙎 𝙏𝘼𝙇𝙆 If you need help with AWS, DevOps, or AI infrastructure, feel free to reach out. Available for long-term and short-term projects.