At FlyRank, I developed a machine learning workflow for content performance analysis and content archetype clustering using real-world SEO and analytics datasets. I built baseline models and clustering pipelines, then validated ranking and recommendation results through interpretability and stability analysis.
I built GitScope AI, a FastAPI backend that integrates GitHub data with the Gemini API to generate codebase insights. I resolved response serialization failures and an IDOR vulnerability in export endpoints, and validated the fixes with a 53-test suite.
My projects also include STRATOS, a multi-agent decision-support platform, and an asynchronous file processing backend built with Django, Celery, Redis, and PostgreSQL. I'm studying Computer Science Engineering (Artificial Intelligence & Data Science) at Pimpri Chinchwad University.
