Education
Columbia University
B.S. Candidate in Computer Science
Sept 2020 - May 2025
New York, NY
- Leave of Absence [Sept 2020 - Sept 2022]
- Courseworks: Data Structures in Java, Discrete Mathematics, Multi-variable Calculus, Advanced Programming in C, Fundamentals of Computer Systems, Linear Algebra and Probability
- Received the Chung Family Scholarship at Columbia Engineering for academic excellence
Work Experience
Scraft
Founder/Principal Developer
Jan 2023 - Present
New York NY
- Built a web app with Typescript, React, NextJS, Django, Azure AI Studio, Firebase that leverages on GPT4
- Winner of Pear VC Competition ($10,000 SAFE), US Champion in Education at Microsoft Imagine Cup ($2,500), 1st Place at Columbia Venture Competition ($15,000), Top 10% of YCombinator W23 applications
- Beta-tested in three courses at Columbia; Conducted 30+ user interviews that led our pivot to language learning
- Developed referral dashboard and streaks feature that led to 270% increase in signups, 12% increase in retention
- Hired and led two Project Management interns to develop A/B testing and feedback pipeline for new features
Faikerz
Software Engineer
July 2021 - July 2022
Seoul, Korea
- Worked on counterfeit detecting models/APIs with fashion brand clients and live-tested against Korean E-commerce sites
- Implemented hierarchical image classification model for CH*NEL product category with EfficientNet and PyTorch
- Built a keyword analysis API that detects anomalies in keyword/price distribution for online products
- Built a clustering model that categorizes online products based on price, supplier, trademark, and distribution path
DIYA ML2 - Machine Learning Club
Member, Multi-Agent Reinforcement Learning Team
March 2021 - Aug 2021
Remote
- Studied, presented, and implemented two reinforcement-learning papers every week
- Co-implemented PPO/DQN algorithms with PyTorch in Pommerman and Snake MARL environment as baseline models
UF SSTP (Student Science Training Program
Participant
June 2019 - Aug 2019
Gainesville, FL
- Implemented a histogram layer for texture analysis CNN model with PyTorch in Dr. Alina Zare’s Lab
- Wrote and presented a research paper and poster titled Histogram Layer for Texture Classification; Won the Best Research Paper Award.