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01 / 06 · whoami

Trần Nam Anh avatar

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
> location:
Ho Chi Minh City, VN
> status:
3rd year · BSc Data Science @ HCMIU
> gpa:
3.69 / 4.0
> research:
dengue shock prediction (HTD × IU)
> building:
100B Studio · co-founder
> open to:
DS / MLE / AI Engineer internships
download CV get in touch github
02 / 06~/sys/stack
stack

CORE STACK

daily reach
Languages
Python · SQL · TypeScript · JavaScript
ML / DL
PyTorch · TensorFlow · Scikit-learn
Data
Pandas · NumPy
Frontend
React · Next.js
Tools
Git · Jupyter

LLM TOOLBOX

multi-provider experience
APIs
OpenAI · Anthropic · Gemini · OpenRouter
Inference
Groq · Cerebras
Open source
HuggingFace

WORKING KNOWLEDGE

shipped projects
Bayesian
PyMC
Time series
forecasting · statsmodels
Computer vision
OpenCV
RecSys
collaborative · content-based
RL
policy gradient · Q-learning
Cloud
Vercel · Supabase · Neon · MongoDB Atlas
Databases
PostgreSQL · MongoDB · Redis · Prisma
Other lang
Java · R

EXPLORING

active investment
→
Agent system & LLM pipeline design
→
Advanced ML/DL techniques
→
Database architecture & management
→
MLOps fundamentals
03 / 06~/sys/deployments
deployments
featured · research● modeling

Dengue Shock Prediction

Predicting post-fever shock progression in dengue patients using time-series clinical data — in collaboration with Hospital for Tropical Diseases HCMC.

DABM →

  • [D]hospital records · time-windowed · IRB-approved
  • [A]physicians making triage decisions
  • [B]symptom progression curves over hours
  • [M]survival models · early-warning classifier
contact for details
collab
Hospital for Tropical Diseases HCMC
role
Co-researcher · feature engineering & modeling
advisor
Dr. Nguyễn Thị Thúy Loan
dataset
IRB-approved hospital records · time-windowed measurements (received).
status
Currently iterating. Early signal: feature engineering + model design phase.
slot · slot-02● classified
████-██

[CLASSIFIED]

eta: TBD

slot · slot-03● classified
████-██

[CLASSIFIED]

eta: TBD

slot · slot-04● classified
████-██

[CLASSIFIED]

eta: TBD

slot · slot-05● classified
████-██

[CLASSIFIED]

eta: TBD

slot · slot-06● classified
████-██

[CLASSIFIED]

eta: TBD

04 / 06~/lib/dabm
framework

DABM = Data · Agent · Behavioral · Modeling

A personal framework combining causal inference, simulation, and AI systems.

[D]

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?

[A]

AGENT

Autonomous entities with their own logic and decision-making. Used to simulate complex systems or support decisions.

[B]

BEHAVIORAL

The core layer. How components interact, how flows propagate, how the system actually operates under load.

[M]

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
05 / 06~/var/logs/chronicles
chronicles

  1. 2028

    1 event

  2. 2026

    4 events

  3. 2025

    3 events

  4. 2024

    1 event

  5. 2023

    3 events

  6. 2020

    1 event
● education◆ role / work★ award▲ event / talk✦ project / research
06 / 06~/net/ping
ping

Got an opportunity, a question, or just want to compare notes on causal inference? Send a packet.

PRIMARY

PROOF OF WORK

$ send_packet

Prefer to skip the chat? Grab the CV.

download CV