Sasidhar Kasturi

Hands-on AI engineering leader

Driving AI transformation through model platforms, agentic systems, and applied AI capabilities across Microsoft Azure AI and J.P. Morgan.

250+ engineers 0 to 37 team build LLM customization AI transformation
2025 – now
J.P. Morgan
Applied AI/ML Director · AI Transformation · AWM Global Private Bank · Bengaluru
Driving applied AI transformation for Global Private Bank, with focus on regulated enterprise AI adoption, AI platform applicability, and startup evaluation for financial services.
2023 – 2025
Microsoft — Azure AI Platform
Principal Engineering Manager / Director · Bengaluru
Led model customization, fine-tuning, distillation, and AI platform transformation work across partner ecosystems including Meta, Mistral, and NVIDIA; scaled engineering scope to 250+ engineers.
2022 – 2023
Microsoft — Azure Machine Learning
Principal Engineering Manager · Bengaluru
Founded AzureML India operations and grew the team from 0 to 37 engineers, establishing the local charter for ML platform engineering.
2018 – 2021
Microsoft — Azure Machine Learning
Senior Software Engineer · Bellevue
Built AutoML feature engineering, telemetry, and PowerBI integration capabilities for Azure Machine Learning.
2015 – 2018
Microsoft — Cortana
Senior Software Engineer · Bellevue
Built Cortana Skills Platform from zero and reduced developer iteration time from one week to two days.
2012 – 2015
Microsoft — Bing
Software Engineer II · Hyderabad
Worked on entity intent mapping for search relevance and ML/NLP models for Cortana Translation.
2009 – 2010
Microsoft — APEX Program
Software Engineer · Hyderabad
Early Microsoft engineering role; received Excellence in Execution award.
2010 – 2012
IIT Bombay
MTech, Computer Science · Advisor: Prof. Soumen Chakrabarti · Compressed Data Structures for Annotated Web Search, WWW 2012, Lyon · Google Travel Grant
2005 – 2009
NIT Warangal
BTech, Computer Science & Engineering
2026
J.P. Morgan Technology Innovation Forum
Judge · Bengaluru · Evaluated AI startups in security, voice AI, and document intelligence for enterprise applicability in financial services.