Hey! Nice to see you.

Jeongbin (Stephen) Lee; CS @ Purdue University
Software Engineering | Full-Stack & Distributed Systems | RF/DC Power Test Engineering

I'm a software engineer who builds distributed systems, full-stack applications, and test automation across industries from semiconductor hardware to medical devices and e-commerce. I work across the stack, from React and Node.js frontends to API architecture, databases, cloud infrastructure, and CI/CD pipelines.

Languages
(Proficient) (Proficient) (Proficient) (Proficient) (Proficient) (Proficient) (Proficient) Frontend, Mobile & Platforms
(Proficient) (Proficient)

Backend & Database
(Proficient) (Proficient) (Proficient)

Cloud, DevOps & Infrastructure

Testing, Hardware & Protocols

AI/LLM Tools

GPA: 3.8/4.0
Coursework: Software Engineering, Object-Oriented Programming, Data Structures & Algorithms, Analysis of Algorithms, Database Systems (Information Systems), Computer Architecture, Operating Systems, Computer Networks, Computer Systems / Systems Programming, Programming in C, Software Testing, Embedded Systems (in progress), CERIAS Security Seminar.

MKS Instruments | Software Engineering Intern, Power Solutions Technology Operations (Jan – Jun 2026, Rochester, NY)
RF/DC power delivery test engineering for semiconductor capital equipment. Architected the auth layer for a distributed .NET 8 API system, cut API latency by 90%, modernized a 20+ year legacy VB6 test architecture to .NET, and rebuilt a broken Jenkins CI/CD pipeline.

LG U+ | Cloud Engineer Intern, Public Cloud Security (Jul 2026, Seoul, South Korea)
Designing ZTNA architecture enforcement on AWS, focused on organizational permission management under a Zero Trust model.

Neurava | Software Engineering Intern (May – Aug 2025, Indianapolis, IN)
Built an FDA-compliant testing framework from scratch for a neural epilepsy detection device, automating 99 regulatory requirements and cutting end-to-end test runtime from 6 hours to 15 minutes.

Purdue Daniels School Marketing Lab | Software Engineering Intern (Feb – Dec 2025, West Lafayette, IN)
Scaled the Purdue Exponent off-campus marketplace into a modular multi-vertical platform, migrated it from Shopify to WordPress (cutting monthly cost 69%), and drove a confirmed $5,000+ revenue increase.

Purdue University | Undergraduate Teaching Assistant, Systems Programming & Programming in C (Jan 2024 – Dec 2025, West Lafayette, IN)
Led lab sessions and live-coding demos for 100+ students per semester across four semesters; graded and gave feedback on memory management, pointer arithmetic, and concurrency.

FPT Software | Software Engineering Intern (Jul – Aug 2024, Hanoi, Vietnam)
Repaired data integrity issues across 100M+ Parquet files of wind turbine telemetry on Azure Data Lake, automating the repair pipeline and cutting runtime from 3 months to 3 days.

ShinwooTNS | Cloud Security Engineering Intern, Intern Team Lead (Oct 2022 – Mar 2023, Seoul, South Korea)
Administered Cato SASE for a 5,000+ user enterprise base and led PoC deployments for clients including Samsung, Korean Air, and Micron. Promoted to Intern Team Lead over a 3-5 person team; earned SASE Expert L1 and L2 certifications.

Republic of Korea Air Force | IT Support Specialist (Jan – Jun 2022, Daegu, South Korea)
Maintained hardware fleet and resolved technical support tickets under military security protocols.

TUNiB | AI Data Review Intern (Jul 2021 – Jan 2022, Seoul, South Korea)
Reviewed and curated ~5,000 lines/day of sociological data to support AI chatbot training.

Purdue Collaborative Robotics Lab | Undergraduate Researcher, Ryan DreamFace Robot Project (Jan – May 2024, West Lafayette, IN)
Analyzed the DreamFace robot "Ryan" end to end and authored the full operational manual for the lab. Built a Python motion-detection module on ROS Noetic with the Intel RealSense Camera SDK.

Distributed outing planner that negotiates group preferences into fair, optimized plans.

• Tech: Angular, TypeScript, Node.js, Express.js, PostgreSQL (Supabase), OpenAI API
• Impact:
  • Architected a resilient distributed web app with a custom version-control layer ensuring data integrity across 100+ profile revisions
  • Integrated the ChatGPT API for automated plan/summary generation, with prompt optimization cutting API calls 50% while maintaining relevance
  • Shipped an Instagram-style highlights feed, email notifications, and preference collection to a 10-user beta
  • Led a 4-person team as Scrum Master across 4 sprints

1st Place @ HackRPI Fall 2020 (Google Cloud COVID-19 Challenge); mask-enforcing web app with QR verification.

• Tech: Python, Flask, Google AutoML Vision (Vertex AI), IBM Watson Studio, HTML/CSS/JS
• Impact:
  • Achieved 99.37% mask-detection accuracy via Google AutoML Vision, with IBM Watson Studio as a secondary classification backstop
  • Presented to 50+ Google engineers
  • Also won 2nd place on the FCA-sponsored track and Top 15 on the Wolfram Alpha track at the same event

ETL pipeline for Purdue Data Mine and MathWorks that extracts structured data from turfgrass pathology research.

• Tech: Python, OpenCV, Tesseract OCR, SQLite
• Impact:
  • Led a 5-person team building the pipeline in collaboration with MathWorks and the Purdue Turfgrass Research Center
  • Processed 1,500 research papers/hour (up to 20 pages each) into structured SQLite records feeding an AI chatbot training pipeline

Custom compiler for a streamlined C subset, from lexing/parsing through optimized x86-64 assembly.

• Tech: C, C++, x86-64 Assembly, Lex, Yacc
• Impact:
  • Built the full pipeline with Lex/Yacc for parsing and hand-written codegen targeting x86-64
  • Achieved a 30% compilation-performance improvement via peephole optimization, validated with ASMProfiler
• Private repo (academic integrity); source available on request.

Custom Bash/Zsh-inspired shell interpreter built from scratch.

• Tech: C, C++, Lex, Yacc, POSIX syscalls
• Impact:
  • Architected the dispatcher with the Command pattern for extensible builtin/external command handling
  • Implemented process forking, unlimited-depth piping, wildcard expansion, subshell execution, and job control directly over POSIX syscalls
• Private repo (academic integrity); source available on request.

Data pipeline that converts JSON schema definitions into executable SQL in under 0.5 seconds (MHacks 2025).

• Tech: FastAPI, Python, PostgreSQL, Regex
• Impact:
  • Built a regex-based parsing layer transforming OpenAI API responses into structured JSON
  • Built an endpoint converting that JSON schema into executable PostgreSQL schemas at sub-0.5s runtime
  • Pitched as internal developer tooling at Waggoner Financial and Amazon

Security testing tool implementing BlackBox and GreyBox fuzzing for vulnerability detection.

• Tech: C, Python, Bash, AFL
• Impact:
  • Built on the AFL (American Fuzzy Lop) framework to implement both BlackBox and GreyBox fuzzing strategies for discovering software vulnerabilities

MERN-stack dating app connecting Purdue STEM students on shared academic goals, not just swipes.

• Tech: MongoDB (Atlas), Express.js, React, Node.js, Material-UI, Twilio
• Impact:
  • Built under Agile/Scrum with a 4-person team across 4 sprints
  • Implemented 2FA authentication with Purdue-email verification, a matching system with like/dislike/block interactions, profile customization, and real-time chat with automatic history cleanup on unmatch
  • Optimized MongoDB retrieval for user photos and resumes via bulk-fetch batching, yielding a 20% faster profile load

Social platform with real-time post and comment updates, backed by comprehensive unit testing.

• Tech: Java 14, JUnit 5, Java GUI
• Impact:
  • Integrated frontend and backend for GUI-to-server communication and built a page-refresh layer for real-time updates of posts and comments
  • Wrote JUnit 5 tests covering 50% of the codebase across happy-path and error-handling cases

2nd Place @ Purdue Hello World 2020; extracts key dates from syllabus PDFs into a downloadable calendar file.

• Tech: Python, Tesseract OCR, HTML/CSS/JS
• Impact:
  • Built a Python PDF parser with OCR to extract critical dates from syllabi and generate a downloadable .ics calendar file, automating a task students otherwise did by hand

Twitch stream recommender that surfaces under-watched streamers (BoilerMake VIII).

• Tech: Python, Flask, Twitch API, parallax.js
• Impact:
  • Built a full-stack app deployed on Heroku that consumes the Twitch API to recommend live streams based on user preferences
  • Designed an interactive frontend with parallax.js and a custom JS data layer to bridge community discovery gaps

Note: Some academic projects (Compilers, OS, Shell) are in private repositories to comply with academic integrity. Source code available upon request.

• Dean's List: Awarded every semester (Academic Excellence).
• 1st Place: HackRPI Fall 2020 (Google Cloud COVID-19 Challenge).
• 2nd Place: Purdue Hello World 2020.
• 2nd Place: FCA (Fiat Chrysler Automobiles) sponsored track, HackRPI Fall 2020.
• Top 15: Wolfram Alpha Challenge, HackRPI Fall 2020.
• Certifications: Cato SASE Expert L1 & L2.

Let's connect!