Headline

Applied AI/ ML Director at JPMorgan Chase

About

Sasidhar is an Executive Director for Applied AI/ML at J.P. Morgan Chase, where he leads strategic initiatives focused on embedding AI-driven capabilities into enterprise platforms. His work spans generative AI, agentic AI, intelligent automation, and scalable ML infrastructure, supporting the firm’s mission to transform client and advisor experiences. Prior to J.P. Morgan, he was a Principal/Director in the Azure Machine Learning group at Microsoft, where he led the vision and execution of an open-source model customization platform. His work included fine-tuning, synthetic data generation, and distillation for NLP and vision models. He spearheaded the incubation and launch of a platform for onboarding and serving OSS models on Azure, enabling seamless integration and scalability for global customers. With professional experience across both the U.S. and India, Sasidhar has played key roles in building and shipping impactful AI solutions. Earlier at Microsoft, he contributed to core components of the Cortana Skills Kit as part of the AI Core Conversations group, and previously worked on the Bing Relevance team in Hyderabad, applying machine learning to improve search results and conversational experiences.

Location

Greater Bengaluru Area

AI stack

claude code

codex

openai

ChatGPT

ChatGPT Images

Google ADK

Work experience

Executive Director at JPMorganChase, May 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India, I am currently an Applied AI/ML Director at JPMorgan Chase, where I focus on building scalable, enterprise-grade AI systems that deliver business value. My work spans across machine learning, generative AI, agentic AI, platform strategy.

Principal Engineering Manager, Azure Machine Learning at Microsoft, Jan 2022 - Jul 2025 · 3 yrs 7 mos, Greater Bengaluru Area

Senior Software Engineer at Microsoft, Jul 2018 - Jan 2022 · 3 yrs 7 mos, Bellevue, # Azure Machine learning I work in the Machine learning group in Azure; specifically on the Azure Automated Machine Learning team.

Senior Software Engineer at Microsoft, Nov 2015 - Jun 2018 · 2 y 7 mo, Bellevue, Washington, # Extend Cortana Our goal is to bridge the gap between user queries and app identification using Cortana - Cortana skills kit (https://developer.microsoft.com/en-us/cortana). I developed a part of the core backend, that powers app identification for a given query.

Software Engineer II at Microsoft IDC, Jul 2012 - Nov 2015 · 3 y 4 mo, Hyderabad

Teaching Assistant at Indian Institute of Technology, Bombay, Jul 2010 - Aug 2012 · 2 yrs 2 mos, Mumbai Area, India, # Curating and Searching the Annotated Web (https://www.cse.iitb.ac.in/~soumen/doc/CSAW/) Our ambition is to annotate mentions of named entities and quantities on billions of Web pages, improve query analysis, and thus, enable searching with entities and relationships at an unprecedented quality and scale. I worked on the scaling part of the problem. Specifically, given a trained model how do we run it at web scale. My work resulted in a paper at the World Wide Web (WWW) conference, 2012 Lyon, France. Paper: https://www.cse.iitb.ac.in/~soumen/doc/www2012/ # Teaching assistant I have worked as a Teaching Assistant for various groups and courses as follows: 1. System Administration group (Jul '10- Dec'10) 2. Project staff under Prof. Soumen Chakrabarti (Jan' 11 - Apr'11) 3. CS 635 - Web Search and Mining - A (Jul' 11 - Dec '11) 4. CS 101 - Computer Programming and Utilization (Jan '12 - Apr'12) Research interests: Web Search & Mining, Machine Learning, Artificial Intelligence, Computer Networks. Graduate seminar topic: Searching the social web Graduate Thesis: Curating and Searching the Annotated Web (http://goo.gl/BJDA8) under Prof. Soumen Chakrabarti(http://soumen.cse.iitb.ac.in/)

Software Development Engineer, APEX Member at Microsoft, Feb 2010 - Jul 2010 · 6 mos, Being an APEX Member gives the flexibility to choose one of various dimensions of Software development. As part of my second rotation, I chose to be a Developer in the Relationship experiences division of Microsoft. I worked on the project `Deliver and Store' which handles distribution, maintenance and delivery of content across Microsoft's data centers around the world . My work as a developer was to work to implement key features in the back end to deliver content at increased speeds. I have worked on C# .NET 4.0, SQL Server.

Associate Test Engineer, APEX Member at Microsoft, Jul 2009 - Jan 2010 · 7 mos, The Microsoft IT Accelerated Professional Experiences Program (APEX) is rotational program for high potential employees to elevate their career and improve leadership skills through a broadened exposure to Microsoft. APEX members work on a breadth of projects over a span of two years in IT Engineering, Product Development and Consulting Organizations for a duration of 6 months each in diverse roles such as Development, Testing and Program Management. In addition APEX Members get a chance to improve their Leadership and Business Skills through on the Job Experiences and Classroom Training’s. As part of the APEX program, I worked as a Test engineer in the Enterprise experiences division(ExD) of Microsoft. The team I was part of, was working on key software that enables ease of sale of Volume licensing products. I had introduced the usage of Model-driven test case development in the team and had been awarded IT Pro award for Excellence in Execution. The technologies I worked with the technologies - C#, .NET 4.0, Windows Presentation Foundation, Product Studio, Visual Studio Team Test.

Academic Intern at Microsoft, Apr 2008 - Jun 2008 · 3 mos, Academic Intern at Microsoft IT, Hyderabad. I worked as part of the Business Intelligence group.

Education

Master of Technology - MTech, Computer Science and Engineering, Indian Institute of Technology, Bombay

Bachelor of Technology - BTech, Computer Science and Engineering, National Institute of Technology warangal

Public links

github: https://github.com/skasturi