Software Engineer · Researcher · Creator
Building at the
intersection of
AI & impact.
CS & Economics at Boston University (GPA: 3.63, 2x Dean's List). I build full-stack products, develop ML pipelines, and use technology to solve problems that matter.
01 — EXPERIENCE
Where I've built things
Undergraduate Research Assistant
Neurovascular Imaging Lab — Boston University
JAN 2026 — PRESENT
Developing Python pipelines for alignment and segmentation of time-series 3D imaging volumes, processing large-scale neuroimaging datasets with NumPy and Pandas. Building interactive visualization tools with napari and automating preprocessing workflows through Bash scripting.
Undergraduate Research Assistant
Boston University
OCT 2025 — PRESENT
Architecting distributed data pipeline processing 12,000+ benchmark items using OpenAI API with parallel batch processing, rate limiting, and fault-tolerant retry logic. Analyzing 5+ LLM benchmark datasets using Python, pandas, and scikit-learn to identify coverage gaps and generate actionable insights on model evaluation quality.
Software Engineer Intern
HeyU — Hanoi, Vietnam
JUN — AUG 2025
Developed and optimized ML models on NVIDIA H100 GPU infrastructure with hardware-software integration and performance tuning across distributed computing systems. Built automated Python data pipelines processing 50GB+ datasets with fault-tolerant retry logic, improving model benchmark scores by 20%. Designed NLP preprocessing pipelines for Vietnamese language support with systematic A/B testing validating a 10% improvement in model output quality.
02 — PROJECTS
Things I've shipped
LineWatch
Full-stack app mapping NYC venues with crowdsourced wait times and ML-powered predictions using LightGBM. Features a PostGIS data model with geospatial queries, temporal features with cyclical encodings and exponential decay, RESTful microservices with Redis caching on AWS, and a Mapbox GL interactive frontend — all at sub-100ms latency.
Movie Recommender
Neural collaborative filtering model in PyTorch combining user-item embeddings with TF-IDF text features from plot summaries. Trained on MovieLens 25M dataset with optimized batch inference and Redis caching for sub-100ms API response times.
AI Fashion Assistant
Full-stack AI fashion assistant with React frontend and FastAPI backend, integrating OpenAI API for personalized, context-aware outfit recommendations through a conversational interface with real-time message rendering and state management.
03 — SKILLS
My toolkit
Languages
Python
JavaScript / TypeScript
Java
SQL
AI & ML
PyTorch
scikit-learn
Pandas / NumPy
LightGBM
NLP
Cloud & Frameworks
React / Next.js
FastAPI / RESTful APIs
AWS (RDS, S3, Lambda)
PostgreSQL / Redis
Docker / Git
04 — WORLD
A global perspective
Three countries,
one worldview.
Growing up across continents shaped how I build software — with empathy for diverse users, awareness of language barriers, and a drive to create technology that's accessible to everyone.
🇻🇳 Vietnam
Where it all started
🇷🇺 Russia
Broadened my perspective
🇺🇸 United States
Boston University — building the future
05 — BEYOND CODE
What drives me
📸
Photography & Film
Content Creation Director at BU Fashion & Retail, directing a team of 5 to produce 4+ photoshoots per semester for promotional content across social media platforms. I see the world through a lens — literally and figuratively — and bring that visual thinking into everything I design and build.
🌍
Community Impact
Passionate about helping underrepresented communities navigate complex systems and language barriers. Tutoring work that led to a student's math olympiad placement showed me the power of patient, dedicated mentorship.
🗣️
Multilingual
Speaking multiple languages across Vietnamese, Russian, and English isn't just a personal trait — it's a superpower for building products that work for everyone, everywhere.
Let's build
something great.
something great.
I'm actively looking for Summer 2026 software engineering internships. Let's connect.