Jeongbin Lee; CS @ Purdue University
Software Engineering | Full Stack Development | Distributed Systems
I am a developer passionate about building scalable web applications, optimizing low-level systems, and solving complex engineering problems.
Languages
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Frontend, Mobile & Platforms
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Backend & Database
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Testing, AI & Tools
(Proficient)
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GPA: 3.8/4.0
Coursework: Software Engineering, OOP, Data Structures & Algorithms, Database Systems, Computer Architecture, OS, Computer Networks, Software Testing, CERIAS Security Seminar.
VibeCheck (Team Lead)
Distributed outing planner ensuring group fairness via preference negotiation.
- Tech: Angular, TypeScript, Node.js, PostgreSQL (Supabase), OpenAI API
- Impact: Reduced OpenAI API calls by 50% via prompt engineering; designed custom version control for 100+ profile revisions.
MaskMandator π
1st Place @ HackRPI Fall 2020 (Google Cloud COVID-19 Challenge)
- Tech: Python, Google AutoML, HTML/CSS
- Impact: Achieved 99.37% mask detection accuracy; presented to 50+ Google engineers.
Turfgrass Pathology Parser (Team Lead)
ETL Pipeline for Purdue Data Mine & MathWorks
- Tech: Python, OpenCV, Tesseract OCR, SQLite
- Impact: Processed 1,500 research papers/hour; built automated pipeline for AI chatbot training.
Custom compiler implementation for a C subset
- Tech: C, C++, x86-64 Assembly, Lex, Yacc
- Impact: Achieved 30% compilation performance improvement via algorithmic optimizations.
Custom Shell Interpreter (Bash/Zsh inspired)
- Tech: C, C++, Linux API
- Feat: Implemented process forking, piping, wildcard expansion, and job control.
FastAPI data pipeline tool (MHacks 2025)
- Tech: FastAPI, Python, PostgreSQL, Regex
- Feat: Converts JSON schema to executable SQL in <0.5s.
Security Testing Tool
- Tech: C, Python, Bash, AFL
- Feat: Implemented BlackBox and GreyBox fuzzing techniques for software vulnerability detection.
Dating application for STEM students
- Tech: MongoDB, Express.js, React, Node.js (MERN)
- Feat: Built using Agile/Scrum methodologies; implemented user matching algorithms.
Syllabus Stripper π
2nd Place @ Purdue Hello World Hackathon
- Tech: Python, OCR, HTML/CSS
- Feat: Extracts critical dates from syllabus PDFs to automate calendar scheduling.
Twitch Stream Recommendation Engine (BoilerMake XII)
- Tech: Python, Flask, Twitch API
- Feat: Bridges community gaps by recommending live streamers based on user preferences.
Social Platform with Real-Time Updates
- Tech: Java, JUnit, Java GUI
- Feat: Implemented comprehensive unit testing to ensure platform stability.
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.
- 2nd Place: Purdue Hello World 2020.
- Top 15: Wolfram Alpha Challenge.
