Designing intelligent systems, secure cloud applications, and scalable software that solve real-world problems.
I'm a Computer Science student passionate about Artificial Intelligence, Cloud Computing, Cyber Security, and Backend Engineering.
I enjoy transforming research ideas, hackathon concepts, and real-world problems into practical software that is scalable, secure, and impactful.
My interests span Machine Learning, Cloud Infrastructure, System Design, and Software Engineering, with a focus on building solutions that combine research with production-ready engineering.
I enjoy learning new technologies, contributing to meaningful projects, and continuously improving as an engineer.
Hallucination detection framework for Large Language Models focused on improving AI reliability and response verification.
Security analysis platform for Google Cloud IAM policies, permission auditing, and access control visualization.
Machine learning-powered quantitative trading platform featuring automated market data pipelines, predictive models, feature engineering, and historical backtesting.
Research project exploring efficient inference techniques for Large Language Models through adaptive compute allocation.
Full-stack productivity application for organizing academic work, tracking progress, and managing daily tasks.
