A selection of my software, AI systems, and research-backed projects—ranging from practical apps to experimental frameworks.

RAG — A Proof of Concept

A lightweight Retrieval-Augmented Generation (RAG) demo built with TinyLlama and MiniLM, showcasing context-grounded responses vs. standard LLM generation. Deployed on Google Cloud using FastAPI and Flask.

Try Demo →

CryptoLab: ML Applications for Cryptocurrency

This project explores the use of machine learning techniques on cryptocurrency data to analyze market trends, predict price movements, and uncover patterns in crypto assets. It aims to build foundational understanding of ML within the financial domain.

View on GitHub->

Khayyam App: Educational Mobile Application

A mobile application focused on presenting the poetic works of Omar Khayyam in an accessible, educational format. The app was developed end-to-end by me following a full software development lifecycle (SDLC), including design, implementation, testing, and deployment.

View on Google Play->

CausalReinforceNet: RL Agent with Causal Reasoning for Crypto Trading

CausalReinforceNet (CRN) is a hybrid AI framework that integrates reinforcement learning with Bayesian and dynamic Bayesian networks to enable automated cryptocurrency trading. Although the agent was evaluated on five major altcoins, the framework is adaptable and can be applied to domains beyond cryptocurrency.

View on arXiv->