Shantanu Deshmukh

About Shantanu Deshmukh

With 10 years of experience building large-scale software systems, I specialize in AI-powered cloud platforms, distributed systems, and full-stack engineering. I enjoy solving complex technical challenges and building reliable, scalable systems that operate at massive scale while improving developer and customer experiences.Currently, I am a Senior Software Engineer at Microsoft, working on Azure Resource Health and supportability platforms that help power the reliability of Azure services used by billions of users every week. My work focuses on designing highly resilient backend systems, building full-stack applications, and developing intelligent automation that improves system observability, diagnostics, and operational efficiency.I actively build AI-driven solutions using OpenAI LLMs and Azure AI, including AI agents, telemetry summarization systems, and supportability automation that help engineers analyze large volumes of logs, telemetry, and operational data more efficiently. By integrating AI into monitoring and engineering workflows, I aim to reduce incident resolution time and enable smarter cloud operations.Technically, I work across the entire stack, building scalable backend services using Java (Spring Boot), Python (Flask), C#(.NET), and cloud-native Azure services, and developing modern user experiences with React and TypeScript. I also design systems that leverage large-scale telemetry platforms, distributed monitoring, and automated deployment pipelines to ensure reliable production operations across global and sovereign cloud environments.Earlier in my career, I worked on machine learning, natural language processing, and computer vision systems, and I remain deeply interested in applying AI to real-world engineering challenges.I’m passionate about building intelligent systems, improving engineering productivity, and applying AI to transform how large-scale cloud platforms are built and operated.

Experience

1. Software Engineer

   Microsoft

   Jul 2019 — Present · Redmond, WA, US

   Build and operate large-scale full-stack cloud services powering Azure Resource Health and supportability platforms, delivering reliability insights and diagnostics used by billions of Azure users every week.• Design and develop AI-powered agents and automation tools using OpenAI LLMs and Azure AI, enabling intelligent log analysis, telemetry summarization, incident investigation, and engineering productivity workflows.• Architect backend services using C#/.NET on Azure, building highly scalable APIs that power Azure diagnostics, monitoring, and support experiences across global and sovereign clouds.• Develop modern React + TypeScript front-end applications that surface operational insights, health signals, and diagnostic data to engineering and support teams.• Integrate deep observability into services using Geneva telemetry and Jarvis monitoring, enabling proactive detection, debugging, and resolution of production issues at massive scale.Lead development of AI-assisted supportability solutions, applying LLM-based summarization and reasoning to reduce incident triage time and improve root-cause analysis across distributed systems.• Build automation and developer productivity tooling that connects telemetry, pull requests, and release pipelines to provide end-to-end visibility of code changes reaching production.• Enable deployments across national and sovereign Azure clouds, ensuring reliability, compliance, and minimal production impact during global rollouts.• Collaborate cross-functionally with Azure service teams, support engineers, and platform organizations to design resilient distributed systems and operational tooling for hyperscale cloud services.• Mentor engineers and contribute to architectural decisions across backend services, observability platforms, and user-facing engineering tools.

Education

• San José State University

  Master of Science - MS, Computer Science

  2017 — 2019

• K. J. Somaiya Institute of Technology

  Bachelor of Engineering (B.E.), Computer Science

  2009 — 2013

• RCF

  High School, Primary and Secondary Education

  1997 — 2009

Skills

• Wordpress
• Algorithm Development
• Opencl
• Apache Kafka
• Genetic Algorithms
• Html
• Xslt
• Sql
• Restful Webservices
• Angularjs
• Linux
• Hibernate
• Opencv
• Eclipse
• Haskell
• Microsoft Office
• Xml
• Rest
• Core Java
• D3.js
• Javascript
• Solr
• Lamp
• Css
• Mongodb
• Node.js
• Amazon Web Services (Aws)
• Mysql
• Spring Mvc
• Python
• Javaserver Pages (Jsp)
• Tensorflow
• Java
• Java Enterprise Edition
• Php
• Atmel Avr
• Cascading Style Sheets (Css)
• C
• Jocl
• Spring Framework