SUMMARY:

• Data Science Architect with over 13+ years of experience in MLOPS, Analytics, and Data Science.
• Proven track record of leading successful teams and implementing innovative solutions to drive business growth.
• Result-oriented performer, with extensive team management and customer-facing experience.
• Extensive experience in mapping ad-hoc business requirements to a deliverable analytics solution.
• Hands-on strong> experience with Cloud platforms GCP, AWS, Azure, and DevOps tools like Docker, Kubernetes, and Jenkins.
• Strong communication and leadership skills with a focus on collaboration and teamwork.

Autonomous Triage Agent for ML jobs running on internal AI platform

• Engineered a read-only AI Agent to automate the triage of complex ML job failures, assisting platform users to quickly diagnose errors.
• Built a custom Python MCP Server to provide the agent with a secure, real-time interface to Kubernetes logs and cluster metadata.
• Architected a RAG pipeline using Amazon Aurora (pgvector) with HNSW indexing, enabling high-speed semantic retrieval of runbooks.
• Implemented Agentic Memory within Aurora to store and correlate incident briefs, identifying recurring failure patterns automatically.
• Reduced median time-to-first-plausible-diagnosis by 15–25% and standardized the triage process across distributed engineering teams.