Ashutosh Upadhyay

About Ashutosh Upadhyay

Accomplished Software Engineer Lead with over a decade of experience in architecting and deploying enterprise-grade Big Data, Machine Learning, and AI solutions. Renowned for building robust, high-quality software products that drive business success, leveraging both Microsoft and Open-Source Technologies. A strategic leader with a proven ability to guide cross-functional teams, ensuring timely delivery of complex projects that exceed quality expectations. Adept at fostering innovation, optimizing performance, and integrating advanced analytics and AI to deliver impactful, data-driven products that propel business outcomes forward.

Experience

1. Principal Software Engineer

   Microsoft

   Sep 2024 — Present · US

   Microsoft TeamsOverview:Principal Senior Engineer leading platform modernization and AI enablement for Microsoft Teams meeting infrastructure. Owned critical responsibilities within the Meeting Content Platform Service (MCPS), powering meeting artifacts such as notes, transcripts, summaries, and enriched content for Teams and Copilot experiences. Drove integration with Teams Copilot Aggregator and AugLoop to enable LLM‑backed reasoning, summarization, and meeting intelligence, with strong emphasis on privacy, compliance, scalability, and operational reliability.Responsibilities:Owned end‑to‑end platform responsibilities for MCPS, including architecture, reliability, data correctness, and partner onboarding across Teams, Outlook, Loop, and Copilot surfaces. Led integration of MCPS with Teams Copilot Aggregator, enabling secure, tenant‑aware access to meeting content for Copilot scenarios while enforcing authorization, data residency, and compliance guarantees. Designed and delivered AugLoop‑based workflows to power ML and LLM‑driven meeting intelligence, including orchestration of grounding data, content transformation, and Copilot‑ready representations. Partnered closely with AI platform, aggregator, and orchestration teams to manage latency, scale, and failure handling across distributed AI pipelines. Drove phased migrations from legacy meeting systems to modernized MCPS flows, planned cutovers, validated via shadow traffic and production monitoring, and stabilized high‑traffic APIs. Coordinated privacy, data governance, and telemetry standards across meeting data pipelines and Kusto analytics. Mentored engineers, reviewed cross‑team designs, and acted as a senior technical owner unblocking complex, cross‑org execution.

Education

• JNTUH College of Engineering Hyderabad

  B.Tech

• Kendriya Vidyalaya

  10+2

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech

Skills

• Web Services
• Entity Framework 4.0
• Machine Learning
• C#
• Sharepoint 2010
• Java
• Microsoft Azure
• Javascript
• Windows Azure
• Xml
• Python
• Wcf
• Deep Le
• Workflow Foundation 4.0
• Oracle
• Microsoft Sql Server
• Linq
• Ajax
• Agile Methodologies
• Asp.net