Built an end-to-end distributed data pipeline that processes stock trading data in real-time into a comprehensive analytics platform.

An LLM powered assistant that provides data-driven insights and recommendations for Fantasy Premier League managers using Retrieval-Augmented Generation (RAG) architecture.

In a team of 10, we followed agile methodologies to deliver a comprehensive travel planning platform offering personalized itineraries, seamless bookings, and budget-friendly travel suggestions.

This project entails the development of a database engine utilizing Java within a Maven project framework. The database engine facilitates CRUD (Create, Read, Update, Delete) operations while minimizing SQL query execution time through the implementation of indexing on pertinent columns using the B+ tree data structure.

An OS simulator, utilizing Multi-Level-Feedback-Queues (MLFQ) for efficient process scheduling and mutexes for resource management , ensuring concurrency.

feedback-grape is a high-performance Python package for simulating and optimizing quantum systems with feedback. It builds on the GRAPE (Gradient Ascent Pulse Engineering) method and introduces a new approach that integrates feedback in a natural, differentiable, and efficient way.