Thái Hoài An
Data Science Student | AI, Data, and Analytics
I'm a Data Science student who works across applied AI, analytics, and data systems, with projects spanning machine learning, NLP, computer vision, BI dashboards, data engineering pipelines, and model deployment.
I'm open to internship roles in AI/ML, Data Science, Data Engineering, and Data Analytics where I can turn real-world data into reliable models, decision-support tools, and production-ready workflows.
About Me
Education
BSc in Data Science (Expected 2027), University of Economics Ho Chi Minh City (UEH), 2023-Present
GPA: 3.78/4.0
Career Goals
My short-term goal is to join a team working with real-world data, whether the focus is AI/ML, data science, data engineering, or analytics. I want to build dependable pipelines, models, dashboards, and decision-support tools while learning from strong engineering and product mentorship. In the long term, I plan to pursue a Master's degree abroad and continue developing data-driven systems with practical impact.
Strengths
- Skilled in coding, algorithm exploration, and data handling across team and personal projects
- Proactive in learning new technologies and sharing knowledge through technical blogging
- Strong logical thinking with a focus on efficiency and practical solutions
- Confident in team leadership, task coordination, and delivering clear technical presentations
- Continuously improving personal learning methods to boost performance and adaptability
Skills
A practical view of what I have used in projects and where it shows up.
ML Engineering
This is the foundation I use most often: clean the data, build features, train models, and evaluate whether the result is actually useful.
Used tools and methods
AI & Data Product Engineering
I can turn an analysis workflow or model output into a usable demo: API, database, auth, frontend, deployment, and enough logging to debug the system.
Used tools and methods
Where it appears
- Minute: real-time AI meeting workflow with WebSocket, FastAPI, pgvector, ACL filtering
- TomatoHub: Next.js, FastAPI, PostgreSQL, SQLAlchemy, JWT, OpenAI/model routing
- AI Tour Guide: multi-provider LLM runtime, TTS, Supabase persistence, deployed frontend
- KKBox BI: Kafka/Spark/ClickHouse -> FastAPI -> React dashboard
LLMs
My LLM work is mostly evaluation and integration: prompt design, embeddings, provider setup, structured outputs, and tool-connected workflows.
Used tools and methods
Where it appears
RAG
This is one of my clearer strengths: document ingestion, vector search, metadata filters, citations, and retrieval with access control.
Used tools and methods
Where it appears
- Minute: permission-aware RAG with pgvector schema, OCR/SmartReader ingestion, citations
- GreenFlow: graph-grounded hybrid RAG, typed data tools, and cited building Q&A
- AIO/RAG chatbot practice: document Q&A with vector DB concepts
- Medical IE: structured extraction pipeline that can feed knowledge retrieval workflows
AI Workflow Systems
I have built workflow-style systems where the application routes tasks, retrieves context, calls tools, and keeps a human approval step for risky actions.
Used tools and methods
Where it appears
- Minute: Pre/In/Post stage-aware LangGraph router, graded RAG, self-corrective loops
- GreenFlow: LangGraph orchestration, function calling, simulation, policy gates, and human approval
- TomatoHub: AI-assisted campaign drafting, prioritization, and supporter recommendation
- AI Tour Guide: LLM vision, script generation, TTS, persistence, and fallback orchestration
Current Positioning
Right now, I fit best in applied AI/ML engineering roles that involve retrieval systems, NLP/CV experiments, FastAPI-backed services, or analytics systems. The projects above show model-side work, data workflow design, and product-side integration, from evaluation pipelines to APIs and dashboards.
Education
Bachelor of Science in Data Science
University of Economics Ho Chi Minh City (UEH)
Oct 2023 - Mar 2027 (Expected)
Academic Achievements
- GPA:3.78/4.0
- Merit-based Scholarship for Academic Excellence - Semester 2
Relevant Coursework
Academic Achievements
- Consolation Prize - National Excellent Student Contest in Chemistry, Vietnam (2023)
High School Diploma
Lê Quý Đôn High School for the Gifted, Ninh Thuận Province
2020 - 2023
Selected work
Featured Projects
A focused selection. Browse the complete archive for every project, research work, and competition.
mondaiy — AI Work Navigator
Built and led delivery of mondaiy (P-004), an AI work navigator that brings together user-permitted messages, email, calendar events, tasks, and long-term memory. The product creates evidence-backed daily briefings, answers questions with source links, extracts actionable work, and prepares actions for user approval.
View case study
Minute – Retrieval-Based AI Meeting Co-Host for BFSI
Minute standardizes the meeting lifecycle for BFSI/LPBank enterprises: pre-meeting context gathering, real-time in-meeting assistance, and post-meeting minutes + action items generation, with citations, audit trails, and access control. The system uses stage-aware routing, a real-time WebSocket pipeline, permission-aware retrieval with pgvector, and human confirmation for tool actions.
View case study
Benchmarking Streaming ASR for Vietnamese
Built a reproducible benchmark for Vietnamese ASR models across offline and simulated streaming settings. The work standardizes manifest generation, Vietnamese text normalization, WER/CER evaluation with bootstrap confidence intervals, latency proxy measurement, real-time factor reporting, and publication-ready result aggregation. The paper was presented at ICCCNet 2026 in Manchester, United Kingdom.
View case studyCertificates & Courses
ICCCNet 2026 — Paper Presentation & Co-author Certificate
Certificate of Participation for Vietnamese Streaming ASR research
Issuer: International Conference on Computing and Communication Networks (ICCCNet)
Certificate of participation as presenter/co-author for the paper “Benchmarking Streaming ASR for Real-time Deployment: A Robustness Scorecard and Error Taxonomy for Vietnamese” at ICCCNet 2026.
AI Viet Nam – AIO25 Program
Structured training track in AI/ML with hands-on assignments
Issuer: AI VIET NAM
Participated in the AIO25 program to strengthen fundamentals and applied AI/ML skills through structured modules and practical assignments. Earned verified credentials for Modules 1–10 and the Data Analysis track, covering Python, OOP, data structures, SQL, Git, machine learning, deep learning, computer vision, NLP, and analytics.
National Excellent Student Competition in Chemistry
Encouragement Prize | Academic Achievement
Received an Encouragement Prize in the National Excellent Student Competition in Chemistry, demonstrating strong academic foundation and exam performance before specializing in Data Science and AI.