MAY 2025 — PRESENT
Hyderabad, India

Full Stack AI Engineer
Amgen
Contributing to Full-Stack, GenAI, and AI-agent platforms for enterprise sensing and decision support using Python, FastAPI, React, PostgreSQL, AWS, Databricks, and vector search.
- Enhanced MCP-enabled GenAI services with Python and FastMCP, enabling natural-language access to structured pipeline and portfolio insights.
- Developed retrieval-augmented intelligence workflows using Databricks, embeddings, Delta tables, vector search, metadata filtering, and MCP integration.
- Improved Prioritized Agenda AI capabilities to generate summaries, review key metrics, surface strategic signals, and support executive decision-making.
- Built n8n automation for AI-powered weekly briefs and Custom GPT use cases, making recurring intelligence sharing consistent and timely.
- Implemented AI-assisted feedback triage with Python, OpenAI, LangChain, Microsoft Teams, and ServiceNow APIs to streamline incident creation.
- Delivered a centralized release management application for approvals, deployment planning, rollback tracking, versioning, and lifecycle history.
- Automated Teams release communication with mentions, threaded updates, approver feedback, CC visibility, and shareable links.
- Reduced Sensing notification RunOps support from roughly six hours to one through validated DynamoDB PartiQL bulk automation.

