Headline

ED – Applied AI/ML @ JPMorgan Chase | GenAI, Agents, AI Architecture | ex-Microsoft

About

Leading and architecting solutions for developing & deploying Applications/Products in the Cloud in Cognitive automation & AI/ML space; with rich contributions in setting up MLOps & Engineering Practice and ML/Natural Language systems

Location

Hyderabad

AI stack

claude code

github copilot

mcp

Google ADK

OpenRouter

vLLM

Work experience

Executive Director – Applied AI/ML at JPMorganChase, Nov 2025 - Present · 11 mo, Hyderabad, - Leading Applied AI/ML and GenAI Engineering/Research across JP Morgan Chase, focusing on building scalable GenAI Foundational Systems, Agentic integration, production-grade AI architecture for high-impact financial use cases. Driving AI platform, strategy, people and adoption of responsible, secure, and compliant AI through Guardrails, Evals, Prompts, Context, observability and more.

Principal Data and Applied Scientist at Microsoft, Mar 2022 - Jun 2025 · 3 y 3 mo, Hyderabad, Telangana, India, - Led the AI Architecture & Engineering in scaling ML GenAI and Agentic solution frameworks across the Sales ecosystem; led efficient knowledge retrieval and generation of content. - Pioneered the standardization and development of enterprise-grade MLOps/LLMOps practices for ML/NLP model experimentation, training, deployment and inference —ensuring consistent and optimized workflows across analytics and data science - Operationalized GenAI/RAG reference architectures on Azure OpenAI in partnership with Research; expanded adoption to 70% of the user base, cutting support ticket volumes by 30% and improving search efficiency by 50%. - Delivered AI-powered Sales Personalization/Recommendation and financial dossiers used by senior leadership, improving insight quality, deal conversion, and end-user engagement through responsible AI integration with product, security & compliance teams.

Solution Delivery Expert, Cognitive & Hyper Automation at Novartis, Aug 2019 - Mar 2022 · 2 y 7 mo, Hyderabad, - Led the strategic Cognitive & Hyper Automation group to transform medical document processing and optimize regulatory workflows. - Designed and deployed OCR/Text-based AI systems for drug labelling, saving over 200 person-days annually through workflow acceleration. - Developed and implemented ML/NLP solutions and architecture for document automation, enhancing operational efficiency. - Defined and enforced MLOps framework, standards, and guidelines for consistent and optimized AI model deployments.

Lead Development Engineer, Data & ML at DBS Bank Asia Hub 2, Jun 2016 - Jul 2019 · 3 y 1 mo, Greater Hyderabad Area, - Spearheaded Data Science and Machine Learning initiatives in Big Data Analytics for DBS Bank, enhancing banking solutions. - Developed advanced models for Product Recommendation, AML/Fraud detection, and Sentiment Analysis, driving innovation in self-service banking. - Implemented MLOps practices, optimizing deployment processes and improving model performance across applications.

Sr Analyst, Big Data at Bank of America, Nov 2013 - Jun 2016 · 2 y 7 mo, Greater Hyderabad Area, - Served as the Subject Matter Expert (SME) for applications within the Marketing Data Platform, ensuring optimal performance and data integrity. - Led the Enterprise Data Warehousing project, enhancing data accessibility and reporting capabilities for marketing initiatives. - Managed the prototyping of Big Data/NoSQL migration in the banking domain, focusing on risk and compliance improvements.

Senior Technical Consultant at Tech Mahindra, Aug 2005 - Nov 2013 · 8 y 3 mo, Sydney, Led the Data warehousing and analytics implementation/operations and consulting for Airlines and Insurance domains/clients, dealing in terabytes of data

Education

Executive Program, Business Analytics & Data Science, SDA Bocconi Asia Center

B. Tech, Electronics & Telecommunication Engg., Biju Patnaik University of Technology, Odisha