
Computer vision / GIS
Built computer vision pipelines with OpenCV and scikit-learn to extract building data from satellite imagery, plus FastAPI endpoints using Ollama and Qwen2.5 for ROI analysis and lead generation.
Computer science / Dallas, TX
I’m Ved, a computer science student at UT Dallas building production APIs, applied AI systems, and autonomous robotics software.

Selected work
Selected work across computer vision, language systems, full-stack products, and mobile engineering.

Computer vision / GIS
Built computer vision pipelines with OpenCV and scikit-learn to extract building data from satellite imagery, plus FastAPI endpoints using Ollama and Qwen2.5 for ROI analysis and lead generation.

NLP / Browser extension
An NLP classification tool for identifying bias and clickbait in articles, delivered through a web app and Chrome extension.

Full-stack / Web development
A full-stack web application for discovering food through a navigation-first experience, built around frontend and backend product flows.

Production APIs / Mobile engineering
Built JavaScript and PostgreSQL REST APIs that process user data and thousands of daily transactions, then connected core mobile flows through Swift and Kotlin interfaces using MVC architecture.
Background
Experience across production APIs, autonomous robotics, technical mentorship, and applied AI.
Jun. 2025 – Feb. 2026 / Dallas, TX
VisorFin Tech Services (VFIN)
Aug. 2025 – Present / Richardson, TX
Comet Robotics
Aug. 2026 – Present / UT Dallas
Google Developer Group at UT Dallas
Education / Expected May 2028
B.S. Computer Science · Minor in Innovation & Entrepreneurship
Technical skills
Python, JavaScript, SQL, TypeScript, C++, Java, C#, Swift, Kotlin, Bash / Shell
React, Node.js, FastAPI, Express.js, Django, Next.js, Flask, Tailwind CSS
PyTorch, TensorFlow, RAG, ChromaDB, NumPy, scikit-learn, OpenCV, NLP, pandas
Git, Docker, AWS, Google Cloud Platform, PostgreSQL, Linux, Firebase, Azure
Get in touch