Jae Park

Studying Computer Science + Statistics at the University of Illinois at Urbana-Champaign with expected graduation May 2027.
Focused on backend and full-stack development with interests in applied ML/AI.

Currently a part-time Software Engineer at printpal, building software in the 3D printing industry.
Returning Software Engineer Intern at AMD and previously an AI Engineer Intern at FANUC America.

Experience

May 2026 — August 2026

Software Engineer Intern · AMD

Austin, TX

I engineered a FastAPI backend that let debug engineers integrate custom agents into an existing post-silicon triage platform, horizontally scaled with Kubernetes and Redis Streams, and delivered a 6x speedup in server CPU register data analysis by bridging a legacy Ruby debug SDK to a Rust signal-searching engine over sockets and JRPC. I built an internal FastMCP server exposing 20+ debug tools to LLM agents for AI-assisted hardware debugging, developed an automated eval framework that optimized LLM selection by scoring cost, latency, tool-calling correctness, and synthesis accuracy with CI/CD auto-evaluation of new releases, and optimized a Rust scan search tool with cached signal matching and parallel processing to enable search across 100+ scans with no slowdown over a single scan.

May 2025 — Aug 2025

Software Engineer Intern · AMD

Austin, TX

I built a CPU trace system for EPYC server processors with three components: a Rust decoder that parsed raw trace data into signals for post-silicon debug analysis; a full-stack visualization platform (FastAPI, React, SQL, S3) for uploading and collaboratively sharing trace files; and a Python tracing library that abstracted trace complexity and enabled automated tracing of EPYC processors.

Rust
Python
TypeScript
FastAPI
React
SQL
AWS
Docker
Poetry
WebAssembly

May 2023 — Present

Software Engineer · printpal

Chicago, IL

Worked on a social marketplace platform for 100,000+ 3D printing users in Flask, JavaScript, SQL (printpal). Implemented features including infinite scrolling with Redis caching, distributed task processing with Celery, and Elasticsearch-powered search for users and models. Built a Swift mobile app connected to backend AI models that allows users to generate and preview AI 3D models from text and images. Shipped an admin dashboard with real-time analytics visualizations.

Flask
JavaScript
SQL
Docker
Redis
Celery
Elasticsearch
Swift
AWS

Sep 2025 — Dec 2025

Software Engineer · Disruption Lab

Champaign, IL

Worked on an AI-driven customer discovery platform to help founders validate pain points through simulated multi-turn interviews. Implemented a conversation pipeline with the OpenAI API for natural discovery flows and structured qualitative feedback. Developed a responsive React/Next.js frontend for managing interview sessions, state, and real-time responses.

React
TypeScript
Next.js
OpenAI

May 2024 — Aug 2024

AI Engineer Intern · FANUC America

Hoffman Estates, IL

Led the development of an on-premises RAG chatbot using LangChain and C# that allowed engineers to query CNC documentation conversationally. Developed and tested a PDF chunking strategy in C# that optimized retrieval quality from CNC documentation. Built a test framework and benchmarks using real production queries to accurately measure and optimize model performance. Researched emerging LLM techniques to create a roadmap for future development.

LangChain
RAG
C#
PDF Processing
Chunking

Projects

Schrodinger

A full-stack machine learning system that predicts NBA game outcomes

Python
FastAPI
React
TensorFlow / Keras
pandas
scikit-learn
AWS
API Integration
BeautifulSoup

Calendr

AI project that turns course syllabus PDFs into structured deadlines and syncs them to Google Calendar.

Python
FastAPI
React
LangChain
OpenAI
scikit-learn
TF-IDF
NLTK
pdfplumber
pandas

BoomerAI

Desktop assistant that walks non–tech-savvy users through real websites.

Electron
React
TypeScript
Vite
FastAPI
Python
OpenAI
Whisper
Pillow
OpenCV
Pydantic

HandsOff

Computer vision project to detect and prevent hands touching your face for acne.

Python
OpenCV
MediaPipe