Shreyas Lakhe

About Shreyas Lakhe

I believe the best tools should feel invisible, they should amplify human creativity, not constrain it. That\'s why I\'m drawn to building AI experiences that just work. Whether it\'s making shopping feel conversational or turning complex queries into beautiful, responsive UIs, I love the challenge of making sophisticated technology feel simple. Software Engineer with a strong foundation in full-stack and cloud infrastructure, currently focused on building agentic systems powered by LLMs. I work on generative UIs, action extraction, and context engineering to enable intelligent, goal-driven agents. Previously contributed to large scale AI driven features across Edge Shopping, Bing, and Azure delivering real world impact at scale.

Experience

1. Senior Software Engineer

   Microsoft AI

   Mar 2019 — Present · US

   I\'m an AI engineer with a full-stack background, currently focused on building brand agents — LLM-powered systems that can act on behalf of organizations. My work centers around generative UIs, tool integration, action extraction, and context engineering — the foundational elements that make agents intelligent, grounded, and useful.Previously, I worked on web agents that could autonomously perform tasks across websites and extract structured actions from unstructured data. Through this, I gained hands-on experience in building agentic systems, developing evaluation frameworks, and applying techniques like retrieval-augmented generation (RAG).Before moving into the agentic AI space, I contributed to the Edge Shopping experience at Bing, delivering user-facing features with a focus on commerce and context. I also worked on the Azure Compute Platform Infrastructure team, where I helped build and scale distributed systems that power critical cloud services.Across roles, I’ve combined my expertise in backend infrastructure, frontend systems, and AI to build robust, production-grade solutions.SkillsAI & Agent Systems: LLM integration, context engineering, tool use, evals, generative UI, RAGFull-Stack Engineering: Frontend + backend development, REST APIs, microservicesDistributed Systems: Concurrency, async programming, service architectureCloud Infrastructure: CI/CD, test frameworks, observability, deployment reliabilityTech Stack: C#.NET, Git, Azure Storage, pub/sub messaging (event-driven systems)

Education

• UCLA

  Master of Science - MS, Computer Science

  2017 — 2018

• COEP Technological University

  Bachelor of Technology (B.Tech.), Computer Science

  2013 — 2017

Skills

• Python
• Java
• Spring Boot
• Mysql
• Sql
• Linux
• Html
• C++
• Machine Learning
• Javascript
• C
• Microsoft Office
• Data Structures
• Css
• Microsoft Excel
• Spring Framework
• Keras
• Algorithms