Raja Anesh

• Reduced route distance by 10% and training time by 30% using Transformers and Reinforcement learning (Policy Gradient), improving operational efficiency.• Improved employee efficiency by enabling quick document access via a Generative AI chatbot using RAG architecture leveraging Mistral.ai LLMs and Pinecone for vector storage, enhancing retrieval for both technical and non-technical staff.• Enhanced model security and scalability by applying Federated Machine Learning techniques via the Flower.ai framew

• Improved long-tail query accuracy by 8% by developing a neural search algorithm using BERT and Elasticsearch, optimizing search results.• Developed a competitor generation system using Vector search and LLMs, identifying 50+ unique competitors and enhancing strategic market positioning.• Created a comprehensive search system, enhancing chatbot functionality and refining results based on user feedback, achieving state-of-the-art performance.• Monitoring search relevance results using user feedback loop bas

Coursework: Explainable AI, Generative AI , Deep Learning, Algorithms