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JH
Available for Summer/Fall 2026

Jimmy He

I build full-stack software that turns complex datasets and messy workflows into clear, reliable products.

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Current

BU MSCS

Expected Dec 2026

Seeking

SWE opportunities

Internship/new grad, full-stack, backend, data products

Recent work

Client + research

Role-aware apps, analytics, churn study

Jimmy He

Overview

Profile Bento

About Me

Engineer with product sense.

I’m pursuing an MS in Computer Science at Boston University after completing a BS in Computer Science and Data Science at UW-Madison.

My work spans responsive frontend dashboards, role-based workflows, optimized database APIs, and machine learning pipeline integration. I focus on writing clean, self-documenting code and designing workflows that translate complex requirements into intuitive user interfaces.

GitHub Profile |LinkedIn

Snapshot

What I Bring

  • Location

    Boston, MA

  • Work authorization

    U.S. Citizen

  • Core stack

    React, Next.js, Flask, PostgreSQL

  • Strengths

    Product-minded engineering, clean APIs, data workflows

Education

Education

Boston University

Expected Dec 2026

M.S. in Computer Science

Dean's Scholarship Recipient

University of Wisconsin-Madison

May 2025

B.S. in Computer Science and Data Science

Certificate in Digital Studies

Expertise

Core Engineering Focus

Backend & APIs

Building transactional services with row locking, data persistence, and robust authentication middleware.

FastAPI · Flask · PostgreSQL · Prisma
Frontend & UX

Designing highly responsive web applications utilizing role-aware routing, loading indicators, and spring animations.

Next.js · React · TypeScript · Tailwind
Data & Infrastructure

Analyzing device telemetries, building pipeline checks, and containerizing full stacks for local/cloud environments.

Python · Docker · CI/CD · GCP

Toolkit

Skills

Java
Python
TypeScript
JavaScript
SQL
HTML/CSS

Selected Work

Projects

BU Spark! (Symporter Project)BU Spark! (Symporter Project) Hover Preview

Featured project

BU Spark! (Symporter Project)

Role-aware research workflows and secure dashboards built from Figma specs to streamline student-to-project matching.

  • Built and deployed production features for a live research matching platform from client Figma designs, supporting real-time messaging, dashboards, navigation, and protected pages.
  • Implemented user authentication, protected routes, role-based access control, and server-side ownership validation using Clerk, Next.js middleware, Prisma ORM, and PostgreSQL.
  • Configured a GitHub Actions CI/CD pipeline to automatically run Jest and React Testing Library suites against frontend components and API routes on every pull request.
  • Delivered the platform to production on Vercel, collaborating in an Agile/Scrum team with weekly sprints, code reviews, and client feedback cycles.
Jan 2026 - May 2026/Next.js, TypeScript, React, Prisma
Cal.com (Open Source Contributor)

Open Source Contributor

Cal.com (Open Source Contributor)

Contributed core performance optimizations and concurrency fixes to the 30k+ star open-source scheduling engine.

  • Fixed a race condition in the scheduling engine where concurrent booking requests could bypass limits, implementing database row-level locks (FOR UPDATE) to ensure limits are checked atomically.
  • Optimized database performance by introducing a double-check pattern, avoiding lock contention and saving system resources by filtering out invalid requests before opening a transaction.
  • Refactored server-side queries using Prisma ORM to safely support transactional database clients, maintaining type safety and code modularity across the monorepo.
Jun 2026/TypeScript, Next.js, Prisma ORM, PostgreSQL
Karaoke Reservation System

Full-Stack Booking Platform

Karaoke Reservation System

Production-ready karaoke room booking platform for managing reservations, room availability, pricing surcharges, and real-time updates.

  • Architected and deployed a production-grade room booking web app using FastAPI and PostgreSQL, digitizing manual paper-based scheduling and reducing reservation check-in times by 60%.
  • Prevented double-bookings by designing strict database validations and resource locking rules, ensuring that overlapping customer reservation requests are handled safely without conflicts.
  • Created a database compatibility layer to translate SQL queries, allowing the system to run on lightweight SQLite during local testing and seamlessly scale to cloud PostgreSQL in production.
May 2026 - Present/FastAPI, Python, PostgreSQL, SSE
NuuB Churn Prediction Platform

Industry Capstone Full-Stack Project

NuuB Churn Prediction Platform

Full-stack predictive analytics platform combining machine learning classifiers with interactive analytics for customer churn tracking.

  • Engineered a full-stack machine learning analytics platform for NUU Mobile, enabling stakeholders to upload datasets and generate real-time churn predictions through a React dashboard.
  • Architected a concurrent REST API in Flask that decoupled heavy ML training workloads by spawning asynchronous background processes to maintain responsiveness.
  • Designed an integration contract enabling Python XGBoost models to execute safely on the backend while the React UI consumed live JSON status updates.
Jan 2025 - May 2025/React, Flask, PostgreSQL, Python

Background

Experience

Jan 2026 - May 2026

Boston, MA

Software Engineer

BU Spark! (Symporter Project)

Next.js, TypeScript, React, Prisma, PostgreSQL, Clerk, GitHub Actions, Jest

  • Built and deployed production features for a live research matching platform from client Figma designs, supporting real-time messaging, dashboards, navigation, and protected pages.
  • Implemented user authentication, protected routes, role-based access control, and server-side ownership validation using Clerk, Next.js middleware, Prisma ORM, and PostgreSQL.
  • Configured a GitHub Actions CI/CD pipeline to automatically run Jest and React Testing Library suites against frontend components and API routes on every pull request.
  • Delivered the platform to production on Vercel, collaborating in an Agile/Scrum team with weekly sprints, code reviews, and client feedback cycles.

May 2025 - Present

Remote

Co-Author & Researcher

Telemetry-Driven Churn Study

Python, Pandas, NumPy, Matplotlib, Seaborn

  • Analyzed and mapped data completeness across event-driven logs of 7,500+ device telemetry records using Python, identifying 60–95% missingness patterns and monthly cohort activation drift.
  • Developed a model diagnostics visualization suite using Seaborn and Matplotlib to evaluate 11 architectures, rendering calibration curves, meta-learner weights, and feature importances.
  • Co-authored the methodology, data characteristics, and preprocessing sections of a manuscript titled 'Evaluation Design Distorts Model Selection in Telemetry-Driven Churn Prediction under Temporal Drift and Class Imbalance' submitted to the International Journal of Data Science and Analytics.

Jan 2025 - May 2025

Madison, WI

Full Stack Developer

UW-Madison x NUU Mobile Industry Capstone

React, Flask, PostgreSQL, Python, Docker, Jira, Git

  • Engineered a full-stack ML analytics platform for NUU Mobile, enabling stakeholders to upload datasets and generate real-time churn predictions through a React dashboard.
  • Architected a concurrent REST API in Flask that decoupled heavy ML training workloads by spawning asynchronous background processes to maintain responsiveness.
  • Designed an integration contract enabling Python XGBoost models to execute safely on the backend while the React UI consumed live JSON status updates.
  • Containerized the full stack with Docker and initialized a PostgreSQL database to persist customer records, enabling complex SQL filtering and rapid retrieval.