- available for internships
- based in NYC
- Class of 2029
Xia Jie Ou
Software Engineer · CS @ CUNY CSI · Class of 2029
Currently dropping into GPU kernels in C++ and CUDA, AI agents on the XRP Ledger, full-stack apps, the next hackathon
About
I'm Xia Jie, a computer science student at CUNY College of Staten Island (B.S., May 2029). I like dropping into hard problems: I wrote Flint, a deep learning engine in C++ and CUDA, from scratch, and I ship full-stack and AI projects the rest of the time.
So far that's two software engineering internships, plus first-place finishes at hackathons including Columbia DivHacks and HackNYU. Back on campus I run Dolphin Hacks and help lead the Computer Science Club.
Xia Jie Ou
- School
- CUNY College of Staten Island
- Degree
- B.S. in Computer Science
- Graduating
- May 2029
- Based in
- New York, NY
- Off the clock
- hiking · gym · tactical fps
- 3 first-place hackathon wins
- 2internships
- 2orgs led
Coursework
- Data Structures
- Algorithms
- Operating Systems
- Databases
- Object-Oriented Programming
Experience
Software Engineer Intern
CUNY High Performance Computing Center
Aug 2025 – Nov 2025 · New York, NY
- Built a Python web crawler data pipeline to unify research paper data from 10,000+ publications.
- Designed and implemented a PostgreSQL schema to optimize queries for all publications from multiple sources.
- 10,000+publications unified
- Python
- PostgreSQL
- Web Crawling
- Data Pipelines
Software Engineer Intern
Evergreen Investments
Mar 2025 – May 2025 · New York, NY
- Engineered a full-stack real estate app in React/Vite, Express/Node, and PostgreSQL for 1,000+ users.
- Developed Zoho check-in and check-out with Deluge, reducing manual time-tracking by 30% for teams.
- 1,000+users
- 30%less manual time-tracking
- React
- Vite
- Node.js
- Express
- PostgreSQL
- Zoho Deluge
Side quests // More experience
Undergraduate Researcher
CUNY Research Scholar Program
Oct 2024 – Jul 2025 · New York, NY
- Developed a non-contact heart-rate monitor in Python/OpenCV that estimates pulse in real time from face video.
- Built a stable facial pipeline aggregating multiple ROIs to mitigate motion and lighting shifts.
- Python
- OpenCV
- Signal Processing
Code to Give Participant
Morgan Stanley
Mar 2026 · New York, NY
- Selected as 1 of 100 from 2,500+ applicants for Morgan Stanley’s Code to Give hackathon.
- Collaborated on a volunteer-outreach platform for nonprofit LemonTree to streamline operations.
- Full-Stack
- Non-profit
- Collaboration
Projects
Flint
GPU Deep Learning Engine
- Built a deep learning engine from scratch in C++ and CUDA with hand-written convolution and matrix multiply kernels.
- Implemented backpropagation to train a Siamese CNN on the engine and evaluated FP16 inference against PyTorch.
- Shipped the engine as a Python package with pybind11, powering real-time face authentication in a local AI assistant.
- C++
- CUDA
- Python
- PyTorch
- pybind11
1st Place · Columbia University DivHacks
Fuse
Autonomous Invoice Agent
- Built an AI agent that autonomously pays invoices on the XRP Ledger, capping worst-case loss at a small float with ledger-enforced multisig and delegation, proven across 14 live devnet scenarios.
- Designed the architecture and built the policy, signer, and reader services in FastAPI with a local XRPL stand-in that verifies real signatures, writing 82 of 104 tests.
- Python
- FastAPI
- XRP Ledger
- xrpl-py
- Gemini API
1st Place · HackNYU
EcoScan
Sustainable Fashion Scanner
- Built the React Native app that scans a clothing tag and garment with the phone camera, uploads both to a FastAPI pipeline, and renders eco-scores, alternatives, and scan history.
- Added scan-based search with a reusable price-range filter across 20 alternatives per scan, and a script that reuses the eco-score heuristics to generate the app's recommendation data.
More loot // More projects
1st Place · HackKnight (Bloomberg)
Skinalyze
Real-Time Skin Analysis
Real-time skin analysis platform using a microservices architecture with Python + OpenCV preprocessing, Google Gemini Vision for instant responses, and Google Maps API for dermatology locations.
- React
- TypeScript
- Express
- FastAPI
- OpenCV
- Gemini
CSI Nursing Dashboard
Mobile-First Study Platform
Mobile-first study platform helping CSI nursing students graduate and pass the NCLEX with curated question banks, progress tracking, and dashboards.
- Next.js
- TypeScript
- Auth
- Vercel
CSI CS Website Revamp
CS Department · Open Source
Modernized the CSI Computer Science department website with a clean, fast, accessible stack, replacing the legacy site with a maintainable component-based codebase.
- Next.js
- TypeScript
- Tailwind
LemonTree Outreach
Morgan Stanley · Code to Give
Volunteer-outreach platform built with Team 3 to help nonprofit LemonTree streamline operations, connecting volunteers, coordinators, and events in one place.
- React
- Node.js
- PostgreSQL
Leadership
Vice President
Computer Science Club
Jan 2026 – Present · New York, NY
- Taught programming workshops, ran coding competitions, and mentored students to build their technical skills.
- Drove a 75% membership increase and 25+ average attendance by leading company partnerships and events.
- 75%membership growth
- 25+average attendance
- Workshops
- Mentorship
- Partnerships
Founder & Lead Organizer
Dolphin Hacks (Google × MLH)
Jan 2026 – Present · New York, NY
- Founded and independently organized Dolphin Hacks, a 12-hour hackathon at the College of Staten Island: sponsorships, website development, Devpost and MLH launch, judging design, and event execution.
- Secured $1,000+ in sponsorships from Google, MLH, and the CSI CS Department through targeted outreach.
- $1,000+in sponsorships
- 12 hrhackathon
- Hackathons
- Sponsorships
- Event Ops
Skills
Languages
- Python
- TypeScript
- JavaScript
- C++
Frameworks & Tools
- PyTorch
- CUDA
- FastAPI
- Linux
- Node.js
- Express.js
- React
- Next.js
- Kubernetes
Databases
- PostgreSQL
- MySQL
- SQLite
Contact
Ready to squad up?
I'm open to internships, freelance collabs, and hackathon teams. Email is the fastest way to reach me.