A curated collection of projects and case studies that demonstrate my approach to software engineering, artificial intelligence, and system design. Each article explores the challenges, solutions, and insights gained throughout the development process.
Machine Learning
her. - AI Personal Stylist
An intelligent fashion assistant using Hugging Face models to help users choose the perfect outfit
her. is a machine learning project that serves as a personal AI stylist, leveraging free-use models from Hugging Face to analyze fashion preferences and provide personalized outfit recommendations. The application combines computer vision and natural language processing to understand user style and suggest clothing combinations.
Built with modern web technologies and AI frameworks, this project explores the intersection of fashion, technology, and personal expression through intelligent recommendations.
Designed and built end-to-end as a solo engineer, this system uses YOLOv8 for person detection combined with DeepSORT for multi-object tracking to count people moving through an office environment in real time. The pipeline processes live camera streams, assigns persistent IDs to individuals across frames, and accurately tracks entries and exits without double-counting.
Tracking data is persisted in PostgreSQL and surfaced through a Power BI dashboard, giving stakeholders live and historical visibility into space occupancy. The project spans the full ML engineering stack — from model inference and tracking logic through to data storage and business intelligence.
A full-stack port management application built using .NET 8 Web API backend with Entity Framework Core and PostgreSQL database. The system features a modern Angular 18 frontend with TypeScript for a responsive user interface and seamless API integration.
The project implements Docker containerization for both development and production environments with multi-container orchestration, demonstrating modern DevOps practices and scalable architecture design.
