PORTFOLIO / 2025

Thang
Le Viet

AI Engineer with a strong background in computer science, focusing on large language models, agentic systems, and scalable ML platforms.

Available for work
Ho Chi Minh City, Viet Nam
Currently
Co-founder & Vibe Coding Engineer
@ Stealth Startup
Jun 2024 — Present
AI Engineer III
@ FPT AI Center — AI4SE Lab
Jan 2024 — Present
Focus
PythonPyTorchOpenAI APIAutogenNextJSFastAPIDockerAzure

Selected Work

2021 — 2025
2024

Co-founder & Vibe Coding Engineer

@ Stealth Startup
  • Built end-to-end conversational AI systems integrating TTS, STT, and LLMs for low-latency, real-time dialogue with <50ms response time.
  • Researched and implemented multi-agent architectures to advance agentic workflows for next-gen SaaS platforms.
  • Adopted vibe coding workflows with Cursor, GitHub Copilot, V0, Replit, and Lovable for AI-assisted development, boosting productivity by 3×.
  • Deployed and orchestrated multi-service, cloud-based architectures for scalable applications using containerized microservices.
2024

AI Engineer III

@ FPT AI Center — AI4SE Lab
  • Developed an event-driven agentic platform automating code analysis, review, and bug localization (−25% manual effort).
  • Designed clustering algorithms to segment large legacy codebases by entry points (+30% accessibility & documentation).
  • Applied syntactic parsers and knowledge graphs to enhance IR and enable advanced QA over legacy code using transformer models.
  • Built tools and strategies for synthetic data generation to support xMainframe (specialized LLM for legacy code QA).
  • Engineered backend APIs for detailed mainframe code analysis at modernization scale with 99.9% uptime.
2023

AI Engineer

@ Resonance Technology
  • Explored LLMs and ML for SEO/marketing competitive analysis: keyword trend forecasting and topic exploration using transformer models.
  • Prototyped an AI Copilot enabling end-to-end SEO workflow automation in Writerzen with natural language processing.
  • Led in-app AI features using advanced prompt engineering and fine-tuned models, boosting user engagement by 83.7%.
  • Designed high-performance SERP clustering algorithms: 40% faster processing and over 5× memory savings using vector embeddings.
2022

Data Scientist

@ Be Group
  • Improved search API accuracy, raising top recommendation click rates from 55% to 70% via ranking algorithms.
  • Built a personalized Bayesian ranking engine, increasing recommendation clicks by 8% platform-wide.
  • Developed and deployed a Rasa-based conversational AI platform for customer support automation.
  • Built a FastText-powered semantic search engine to enhance contextual relevance.
2021

Research Assistant

@ NLP@UIT Laboratory
  • Created COVIDROP, the first Vietnamese numerical reasoning dataset based on DROP.
  • Designed annotation guidelines and labeling tools to ensure high-quality data collection.
  • Implemented and evaluated NAQANet and NumNet to benchmark numerical reasoning.
  • Contributed knowledge-graph QA workshops and techniques for semantic information extraction.

Education

2018 — Present
Sep 2023 — Present
Ho Chi Minh City, Vietnam
GPA: 3.7/4.0

Master of Science in Computer Science

University of Information Technology

Key Highlights

  • Currently pursuing advanced studies in Computer Science

Relevant Coursework

Advanced Machine LearningNatural Language ProcessingKnowledge Graphs & Semantic WebDeep Learning ArchitecturesStatistical Methods in AIResearch Methodology
Sep 2018 — Jan 2022
Ho Chi Minh City, Vietnam
GPA: 3.6/4.0

Bachelor of Science in Data Science

University of Information Technology
Thesis: Numerical Reasoning Reading Comprehension on Vietnamese COVID-19 News: Task, Corpus, and Challenges

Publication

"Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges"
Van Nguyen, K., Le, T.V. & Do, T.PP.
Neural Computing & Applications (Q1) • Volume 36, 14053–14073 • 2024
DOI: 10.1007/s00521-024-09744-5

Key Highlights

  • ♔ Graduated Top 1 in Major (Data Science)
  • Published research paper in Neural Computing & Applications (Q1 journal)
  • Developed COVIDROP dataset - first Vietnamese numerical reasoning dataset
  • Collaborated with NLP@UIT Laboratory on knowledge-graph QA techniques
  • Participated in multiple data science competitions and hackathons

Relevant Coursework

Data Structures & AlgorithmsStatistical AnalysisDatabase SystemsMachine Learning FundamentalsData Mining & VisualizationBig Data Technologies