Aakash Bhagavathi

Backend developer for AI evaluation platform. Developed RAG pipelines with LangChain & Pinecone Vector DB, Google OAuth, and quiz generation with Zod schemas. Over 150 commits across a 4-person team.

AI-driven career roadmap and transition intelligence system. Maps current user background and skill gaps against target role competencies to generate structured, milestone-based roadmaps for accelerated hiring readiness.

Led a team of 4 software engineers to rebuild the organization's web platform from scratch using React and Firebase, migrating off Wix for complete custom code control and dynamic storytelling publishing.

Accessible digital legal assistance portal offering structured intake, legal update digests, and advisory routing for civil, consumer, and compliance challenges across India.

Nintendo Switch emulator port optimizations exploring Tegra X1 SoC capabilities, ARM64 architecture, memory bandwidth tuning, and custom compilation pipelines.

Predictive ML model built in Python with Scikit-Learn (Logistic Regression & Random Forest) to analyze lifestyle data, clean feature sets with Pandas, and forecast sleep disorder risks.

Programmed vehicle physics, tilemap track generation, and collision detection in GDScript for Godot Engine. Released on itch.io for UTD SGDA and Godot Wild Jam.

Repository of 27 NeetCode problems solved in Java, implementing optimal data structures and algorithmic patterns across arrays & hashing, sliding window, two pointers, binary search, trees, and linked lists with time and space complexity analysis.