My Work

A blend of full-stack engineering and machine learning solutions.

AI & Machine Learning

Binary segmentation model with U-Net architecture

This project implements a complete deep learning pipeline for the binary segmentation of Brachial Plexus nerve structures in biomedical ultrasound images. Leveraging the classic U-Net architecture within PyTorch, the model is designed to identify specific anatomical features with high precision. The project features a production-ready workflow including Docker containerization for reproducibility and Weights & Biases for real-time experiment tracking.

PythonPyTorchNumPyOpenCV

Web Development

Solve Stack

SolveStack is a modern Q&A platform inspired by Stack Overflow, rebuilt using the latest Next.js and MongoDB. Users can ask questions, vote, bookmark content, and earn badges, while an AI assistant (Grok AI) helps generate high-quality answers. Additional features include a location-based job board and a detailed admin panel with real-time charts.

Next.jsMongoDBTypeScriptGrok AI

Nik-bud

Nik-bud is a simple and clear construction company website, showcasing their services, projects, and expertise in the field. The site allows users to easily navigate through the company's offerings and learn more about their approach to construction.

Next.jsReactTypeScriptTailwind CSS

RallyUpGo

This app is being developed by me and my friend, we're both thinking about what to implement and how. I take care of the front-end development, while my friend is responsible for the back-end. RallyUpGo is a loyalty app designed specifically for squash enthusiasts. It includes part for users as well as part for clubs. The app allows users to earn coins through playing squash and redeem them for rewards or discounts and help clubs attract more clients. This is done by QR code generation and QR code scanning.

Next.jsTypeScriptTailwind CSSSwagger