At Bridge-ItAI, I productionized a career recommendation engine for student profiles, combining sector alignment, preference matching, and skill similarity. The weighted scoring framework translated career-guidance requirements into recommendation logic.
I also optimized CoPilot’s LangGraph pipeline with intent-driven context ingestion and adaptive prompting strategies to improve response efficiency and system performance.
As an AI/ML Intern at Bridge-ItAI, I implemented LangGraph for chatbot execution and used LangChain for data preprocessing in ReAct agent development. I also used GCP Cloud Storage to manage raw data for a database-generation pipeline.
At IGNITUS, I designed a webcam-based mood detection system using OpenCV and TensorFlow, and integrated BERT and GPT models into a chatbot. I’ve also built a Math Mentor tutoring agent using RAG, LangGraph, and Google Gemini.
