Nyasa Parikh

I’m a third-year IT student who loves building things end-to-end — from clean UIs to scalable backends, automating workflows, and experimenting with AI-driven features. I explore across full-stack development, machine learning, DevOps, and computer vision, and I enjoy connecting these areas to build smarter, more practical systems.

I work extensively with Python, whether it’s backend development with FastAPI, data analysis, building ML pipelines, or doing image and 3D processing using OpenCV and Open3D. On the frontend, I use React + Vite, and I’m comfortable structuring complete applications that integrate smoothly with APIs and ML models.

I also enjoy the DevOps side of engineering:

confident with Git (rebasing, stashing, conflict resolution),

understand Docker, images vs containers, WSL2,

and have worked with CI/CD concepts and practical debugging during deployment.

Some of my recent work includes:

A 2D-to-3D floor plan converter using image processing + Open3D

A content-based movie recommendation system using cosine similarity

A full-stack hackathon project involving modular backend architecture and AI logic

Multiple data visualization and functional programming exercises to deepen Python expertise

I love taking on challenging ideas, breaking them down into clean modules, and turning them into working products. Always learning, always building, and always excited to push a project to the next level.