AI Engineer at FPT Software AI Center with 2 years' experience building and deploying AI-powered applications — Large Language Models, Retrieval-Augmented Generation, Agentic AI systems, and machine learning model development.

Most of my work is taking agentic systems to production: agent runtimes, tool-use orchestration, permission and governance layers, and multi-tenant administration with auditing, usage and cost reporting. I design end-to-end ML solutions that bridge model training, backend engineering, cloud deployment and production support — model fine-tuning, optimisation, and latency-aware agent design.

I operate services through a modern observability stack (structured logging, distributed tracing, metrics, error triage, model/agent trace inspection) and work to disciplined engineering practice — enforced architectural boundaries, decision records, a default-deny permission model, forward-only database migrations, staged releases, and layered testing from unit through end-to-end and agent-behaviour evaluations. I regularly author technical specifications and review peers' work.

• 🎓  B.Sc. Computer Science — Applied Artificial Intelligence, HCMUT (VNU-HCM) · graduated Excellent, GPA 3.8 / 4.0
• 🌏  Vietnamese (native) · English — Professional Working Proficiency (IELTS 6.5)
• 🧭  Full-stack across FastAPI backends and React / TypeScript portals, deployed on AWS, Azure and Google Cloud
• 🌐  Full detail, live demos and every project → pdz1804.github.io

• Ho Chi Minh City University of Technology (HCMUT) — B.Sc. Computer Science, Major in Applied Artificial Intelligence  ·  Sep 2022 – 2026 Graduated with Excellent classification · Cumulative GPA 3.8 / 4.0 · Academic Incentive Scholarship (4/8 semesters) · OISP Scholarship (3/8 semesters) · Consolidation Prize, Bach Khoa Innovation Contest (Jun 2023)
• Le Hong Phong High School for the Gifted — Mathematics Honours Class  ·  2019 – 2022

• Agentic ERP Platform (team of 15) — an enterprise AI workspace where autonomous agents act inside a company's business systems. Scope: agent runtime, permissions & governance, multi-tenant administration, integrations and customer-facing interfaces.
• Built the runtime permission layer (default-deny, enforced at runtime), per-customer administrator controls with a full audit trail, and usage & cost reporting; authored the permission-model specification through many review rounds.
• Shipped the first release of user-authored Skills and team sharing across agents, skills and artifacts; cut a slow shared-content endpoint from tens of seconds to a single query; consolidated user & group management onto one source of truth.
• Built a third-party integration from scratch; implemented queued messaging; improved streaming chat (conversation search, composer usable while replies stream).
• Operate services via OpenTelemetry, Prometheus, Sentry and Arize Phoenix; daily CI work with quality and architecture gates and migration-safety checks; review peers on architecture boundaries, permission correctness and migration safety.
• Earlier: architected a healthcare agentic chatbot and its Management Portal on AWS Bedrock AgentCore (team of 10), leading POC → production at >90% end-to-end accuracy. 🏆 Team received the "Best Team" award — FPT Americas (ST25).
• Presented three internal AI4ALL knowledge-sharing sessions — "AWS Strands Agents in the Cloud Era", "Portal for Agent Projects", "Agent as a Judge: How AI Evaluates AI" — and mentored an intern alongside senior engineers.

_{Remote supervisor: Prof. Kazuyuki Motohashi, The University of Tokyo}

• Built a Blog System with AI search & recommendation on Azure AI Search, Cosmos DB (NoSQL), Redis and Azure OpenAI, using hybrid retrieval — BM25 + vector + semantic + freshness scoring.
• Designed M3ARAG, a locally deployable, GPU-accelerated Multi-Agent RAG system answering questions over PDFs, HTML, Office documents and text.
• Developed a Dual Attention Model extracting technical keywords from company websites, and a Transformation Matrix aligning Company–Patent data for the end-to-end Innovation Discovery pipeline.

• Designed an unsupervised framework to construct a Knowledge Graph with minimal domain-expert input, reducing manual labelling and curation effort.
• Evaluated SOTA LLMs for entity and intent extraction on raw Vietnamese documents; researched embedding, dimensionality-reduction and clustering techniques to reduce bias in abstract entity representations.

Academic  ·  Fine-tuning LMs for NLP Tasks (T5 / BART / Flan-T5, LoRA)  ·  Sentiment Analysis with Various Models (7 ML/DL models)  ·  Detect AI-generated Text (DistilBERT vs. classical)

LLM & Agents  — LangGraph · LangChain · AWS Strands · MCP (Model Context Protocol) · RAG & hybrid retrieval · Agent evaluation / LLM-as-a-Judge · OpenAI API · Google Gemini · Docling · ColPali

ML & Data  — Hugging Face Transformers · Sentence-Transformers · PEFT / LoRA · spaCy · NLTK · Gensim · XGBoost · NumPy · Pandas · Polars

Platform & Ops  — Temporal · Argo CD (GitOps) · Qdrant / ChromaDB / OpenSearch · OpenTelemetry · Prometheus · Sentry · Arize Phoenix · SonarQube · Backstage · Playwright

• Anthropic — Model Context Protocol: Advanced Topics, AI Fluency Framework & Foundations, Claude with Vertex AI (May 2026) · Introduction to Subagents, Claude 101 (Apr 2026)
• Google — AI Specialization, AI Fundamentals & 3 more (Feb 2026) · Prompting Essentials & 2 more (Jun 2026) · Foundations of Data Science (May 2026) · Gemini Certified University Student (Dec 2025)
• DeepLearning.AI — AI Agents in LangGraph · Functions, Tools & Agents with LangChain · LangChain for LLM App Development · Build AI Apps with MCP Server  (+5)
• Hugging Face — AI Agents Fundamentals (Jun 2025)  ·  DataCamp — AI Engineer for Data Scientists Associate (Sep 2025)

_{Contribution graph, pinned repositories and language breakdown are on the profile below.}