• Built AI-powered Microsoft 365 apps available to ∼5,000 employees for summaries, insights, and support.

• Integrated LLMs with Office.js, MS Graph, and EWS for semantic search, data analysis, and content generation.

• Deployed apps on Azure VMs with reverse proxies, SSO, and TLS, improving model response latency by ∼30%.

• Designed prompt and context pipelines to improve accuracy and relevance of real-time AI responses.

• Led weekly 30 student PSO sessions on DP, recursion, and graphs; reinforced key concepts in algorithms and ML.

• Guided students on debugging, complexity analysis, and code reviews to strengthen logical thinking and efficiency.

• Graded 50+ assignments and helped design problems aligned with foundational ML and algorithmic principles

• Implemented Python Cookiecutter templates for microservice setup, cutting predicted dev time

• Utilized logging, and testing standards into templates to ensure consistency and reliability.

• Drove adoption through documentation and team demos(10+ teams), improving onboarding and code quality.

• Created knowledge graphs on healthcare and sports using ArangoDB to support insights and recommendations.

• Modeled 10K+ entities and improved AQL query speed by 25% through indexing and schema optimization.

Studied user behavior & onsite journey of inbound Diabefly customers