About Me

Hi, and welcome to my personal website! My name is Jerry, I'm an undergraduate studying Computer Science & Mathematics at Georgia Tech. I've gotten to work on some really cool projects in the past, such as building a computer vision model for near-real-time anomaly detection in the semiconductor manufacturing process or developing a voice agent platform to help clinics resolve more inbound scheduling calls autonomously.

You can read more about my past work experiences, research, personal projects, and fun coding problems I've worked on here. I strongly believe that the future holds a lot of cool things, and those things will be driven by advances in technology. So I'm doing my best to contribute!

Jerry with a group at a university event
Jerry on a mountain overlook
Jerry at a self-driving car exhibit
Jerry beside the Georgia Tech Ramblin' Wreck

Education

Georgia Institute of Technology

Bachelor of Science in Computer Science & Mathematics

Concentrations: Artificial Intelligence, Systems & Architecture

GPA: 4.00/4.00 · Honors Program

Experiences

Software Engineer Intern

Texas Instruments

Jun 2026 – Aug 2026 · Richardson, TX

  • Built and deployed a PyTorch computer vision model that detects chip anomalies in near real time on Databricks and PySpark data pipelines, enabling an estimated 30 wafers/month to be reprocessed ($30K/month savings).
  • Unified process control data across multiple manufacturing systems into a single Databricks lakehouse by designing a common data model and ETL pipelines, delivering a dashboard that monitors quality metrics across global fab sites.
PyTorch Databricks PySpark Data Modeling Data Pipelines
Georgia Tech Oceanography Lab logo

Research Assistant

Georgia Tech Oceanography Lab

Aug 2025 – Present · Atlanta, GA

  • Built a multi-stage data pipeline following Databricks medallion architecture that processes 4 NASA satellite datasets, applies geospatial algorithms to fuse sensor measurements, and orchestrates resumable stages as Slurm jobs on an HPC cluster.
  • Applied unsupervised machine learning to discover a novel pattern in how plankton evolve inside rotating ocean currents; wrote the manuscript as first author and presented at the Southeastern Biogeochemistry Symposium.
Python Data Pipelines Machine Learning HPC
AllMed AI logo

Software Engineer Intern

AllMed AI

Jun 2025 – Aug 2025 · Menlo Park, CA

  • Engineered AI voice agents that automate clinic scheduling, integrating with healthcare systems through TypeScript REST API microservices and browser automation, resolving over 90% of inbound calls without human intervention.
  • Built and deployed a multi-tenant voice agent platform to 5 clinics using TypeScript and PostgreSQL, reducing new-clinic onboarding from days to hours with per-clinic configuration, observability, and transcript-based quality assurance.
  • Automated check-in for new and returning patients with end-to-end tested Python Playwright scripts that sync self check-in kiosk forms into healthcare systems and a MongoDB patient database, saving 15 minutes of clinic staff time per visit.
TypeScript REST APIs Microservices PostgreSQL MongoDB LLMs Voice AI
Georgia Tech VIP logo

Performance Subteam Lead

Georgia Tech VIP | Exascale Computational Fluid Dynamics Team

Aug 2025 – Present · Atlanta, GA

  • Reduced visualization latency for fluid simulations by 95% by streaming simulation states from MPI-parallelized solver processes to a Qt desktop GUI over TCP, replacing disk-based checkpoint I/O.
  • Led a team of 8 students to accelerate solver kernels with C++ CPU multithreading and GPU parallelization, developing a benchmarking suite to quantify speedups over the original operations.
C++ MPI TCP Qt
USF Nault Center for Entrepreneurship logo

Data Analyst Intern

USF Nault Center for Entrepreneurship

Jun 2024 – Aug 2024 · Tampa, FL

  • Built an ETL pipeline in Python to ingest clinical trial data and market data, storing it in a normalized SQL database that enabled analysts to self-serve ad-hoc queries.
  • Automated the calculation and reporting of key performance indicators (KPIs) and financial metrics for a portfolio of 500+ biotech companies by applying Pandas, NumPy, and the Yahoo Finance API.
Python SQL Pandas ETL

Engagements & Extracurriculars

© 2026 Jerry Chen