01 / 07 · whoami
Trần Nam Anh
Line·Data Scientist & AI Engineer
Working at the intersection of ML, LLMs, and algorithmic reasoning — and I care that each thing I ship has its own shape.
- ML Engineering
- Applied AI · LLM
- Research & Causal
02 / 07 · about
jack of all trades.
- based
- Ho Chi Minh City, VN
- studies
- 3rd year · BSc Data Science @ HCMIU
- currently
- 100B Studio · co-founder
- open to
- DS / MLE / AI Engineer internships
I'm a Vietnamese data scientist & AI engineer who doesn't fit neatly into one box. Coming from a Data Science program but living half my time in production code, half in research papers.
Right now I'm splitting effort between dengue shock prediction research with Hospital for Tropical Diseases, co-founding 100B Studio, and leading GDGoC HCMIU. The thread tying it together: build things that survive contact with reality.
what i bring
ML Engineering
End-to-end pipelines — from raw data to deployed models. Comfortable across PyTorch, scikit-learn, and the messy middle.
Applied AI · LLM
Multi-provider experience (OpenAI, Anthropic, Gemini). I build agent systems that actually do work, not just look smart in demos.
Research & Causal
Causal inference and Bayesian thinking for problems where prediction is not enough. Currently applying this to dengue shock progression.
Production Builder
I ship. From Next.js frontends to backend services on Vercel / Supabase / Neon. Code that runs, not slides that pitch.
currently exploring
- AI Agents
- Causal Inference
- Game Theory
- Simulation
- Dengue Modeling
- MLOps
03 / 07 · stack
tools of the trade.
CORE STACK
daily reach- Languages
- PythonSQLTypeScriptJavaScript
- ML / DL
- PyTorchTensorFlowScikit-learn
- Data
- PandasNumPy
- Frontend
- ReactNext.js
- Tools
- GitJupyter
LLM TOOLBOX
multi-provider experience- APIs
- OpenAIAnthropicGeminiOpenRouter
- Inference
- GroqCerebras
- Open source
- HuggingFace
WORKING KNOWLEDGE
shipped projects- Bayesian
- PyMC
- Time series
- forecastingstatsmodels
- Computer vision
- OpenCV
- RecSys
- collaborativecontent-based
- RL
- policy gradientQ-learning
- Cloud
- VercelSupabaseNeonMongoDB Atlas
- Databases
- PostgreSQLMongoDBRedisPrisma
- Other lang
- JavaR
04 / 07 · work
selected projects.
Dengue Shock Prediction
featuredresearch2026Predicting post-fever shock progression in dengue patients using time-series clinical data.
- Python
- PyTorch
- Pandas
- Scikit-learn
- PyMC
- [restricted]LGL-██classifiedLLM
[CLASSIFIED]eta: TBD
- [restricted]PNC-██classifiedresearch
[CLASSIFIED]eta: TBD
- [restricted]WLD-██classifiedML
[CLASSIFIED]eta: TBD
- [restricted]EDU-██classifiedEdTech
[CLASSIFIED]eta: TBD
- [restricted]STU-██classifiedcreative
[CLASSIFIED]eta: TBD
05 / 07 · framework
DABM.
DABM = Data · Agent · Behavioral · Modeling
A personal framework combining causal inference, simulation, and AI systems.
DATA
Is it raw or processed? What's the context, the preprocessing depth, the reliability? Is it enough — and right — for what we want to train?
AGENT
Autonomous entities with their own logic and decision-making. Used to simulate complex systems or support decisions.
BEHAVIORAL
The core layer. How components interact, how flows propagate, how the system actually operates under load.
MODELING
The standardization layer. Turns the whole system into something we can simulate, optimize, and verify against intent.
- [D]hospital records · time-windowed · IRB-approved
- [A]physicians making triage decisions
- [B]symptom progression curves over hours
- [M]survival models · early-warning classifier
06 / 07 · record
experience.
organizations
education
achievements
07 / 07 · contact
let's build something.
Got an opportunity, a question, or just want to compare notes on causal inference? Send a packet.
PRIMARY
- emailtnanh.gdsciu@gmail.com
- github@LineLuLan
- linkedinanhline03
PROOF OF WORK
- kagglelineizumi
$ send_packet
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