Akash Kamat

Worked on Enterprise Search product (Glean alternative), architecting RAG pipelines, multimodal ingestion,
and hybrid search (BM25 + vectors) for precise semantic retrieval.
• Built high-performance backend services using Python, FastAPI, and MongoDB to ingest data via custom
connectors (Drive, Salesforce, Confluence).
• Developed LLM-powered conversational agents with multi-turn reasoning for the BSM platform, enabling
automated ticket summarization and self-service troubleshooting.