Jimmy He
Software Engineer | Full-Stack + ML (TypeScript, Python, Java)
I build production-ready features from React/Next.js frontends to Flask APIs and optimized PostgreSQL backends. I care about secure systems, clean UX, and measurable product outcomes.
Focus areas
Full-stack + ML
Next.js, Flask, PostgreSQL, model-enabled products
Recent impact
Security + performance
RBAC + ownership checks, sub-200ms query paths
Availability
Summer 2026 SWE
Boston-based • U.S. Citizen • Remote-friendly
About Me
I’m a software engineer currently pursuing an MS in Computer Science at Boston University, where I build full-stack and ML-enabled systems.
I move from TypeScript/React interfaces to Flask services and database optimization, balancing strong engineering practices with pragmatic delivery.
I’m currently seeking Summer 2026 software engineering internships and enjoy collaborating in fast-moving teams where code quality and iteration speed both matter.
“Build useful things, measure impact, and keep improving.”– Jimmy He
Skills
Python
Java
JavaScript
SQL
HTML/CSSFeatured Projects
Here are some of my recent projects that showcase my skills and experience in full-stack development, with a focus on building end-to-end web applications using modern technologies.
Symporter (Research Matching Platform)
Research matching platform built with Next.js App Router, TypeScript, Prisma, and PostgreSQL, with secure role-based workflows.
- Built responsive UI flows and navigation for multiple user roles with robust unit/integration tests.
- Implemented Clerk authentication and Next.js middleware route protection for role-specific access.
- Hardened API mutations using server-side identity and ownership checks backed by Prisma/PostgreSQL.
- Improved CI reliability through Jest/RTL Clerk mocks with ESLint, Prettier, and Husky quality gates.
ML-Powered Customer Analytics Platform
Full-stack analytics platform combining ML inference APIs, PostgreSQL, and a React dashboard, shipped with Docker Compose.
- Built Flask REST APIs integrated with PostgreSQL and a React dashboard with dynamic filtering.
- Engineered pandas/NumPy data pipeline for 50K+ records used in feature engineering and model input.
- Reduced repeated query latency by ~40% through execution-plan analysis and targeted indexing.
- Delivered sub-200ms query response times for key dashboard workloads.
Legends: Monsters & Heroes (Advanced Java RPG)
A modular Java RPG engine focused on scalable game architecture, extensibility, and maintainable object-oriented design.
- Designed a modular engine across 40+ classes using Strategy, Factory, and Observer patterns.
- Implemented a finite state machine to coordinate combat and transaction workflows.
- Built data-driven parsers to load entities/configuration without recompiling core logic.
- Separated game logic from rendering through an event-driven architecture for easier testing.
Experience
Machine Learning Researcher
NUU Mobile Sponsored Research
- •Developed an XGBoost/MLP ensemble model for telecom churn prediction on 7,500+ customer devices.
- •Engineered features and handled class imbalance across a 50K+ record pipeline using pandas and NumPy.
- •Contributed technical analysis and writing for a churn prediction paper with behavior-trend visualizations.
- •Created exploratory plots with matplotlib/seaborn to communicate model insights to stakeholders.
Software Engineer (Industry Capstone)
UW-Madison x NUU Mobile Capstone Project
- •Rotated Scrum master and product owner responsibilities across a 4-person team throughout a 4-month Agile cycle.
- •Managed Jira sprint planning, user stories, standups, retrospectives, and cross-functional delivery.
- •Owned frontend/backend workstreams, led code reviews, and maintained team Git branching conventions.
- •Presented sprint demos to NUU leadership and translated feedback into backlog priorities for each iteration.
- •Delivered final presentation to 100+ students and mentors from Google, GE HealthCare, and Capital One.