At Infosys Springboard, I contributed to a LangGraph Deep Researcher AI agent that improved automated information retrieval efficiency by 30%. I experimented with prompt chaining and context memory, and integrated different LLMs for different scenarios.
At Infotact Solutions, I designed and fine-tuned recommender systems using collaborative and content-based filtering. Hyperparameter tuning and matrix factorization optimization improved prediction accuracy by 4%.
I built an AI Deep ResearchAgent project for context-aware query planning and information synthesis. I also built and trained plant disease classification models that achieved over 96% accuracy across 38 classes, and deployed an interactive Streamlit interface for image-based diagnosis.
