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Director of AI | Author of “How AI Thinks” | Teaching engineers to build deep-tech agentic AI systems without a machine learning degree | Follow for battle-tested AI architecture & deployment insights
Most engineers are guessing their way through AI. Copying tutorials. Chaining APIs. Shipping things that work in demos and collapse in production. I've spent 25 years building software, and the last few building production AI systems that actually hold up. Agents with guaranteed outputs, systems that survive model churn, AI features that don't embarrass you at 2 am. I write The Invariant for engineers who already know how to build serious systems and now need to learn how to build serious AI systems. First principles. No hype. The mental models that actually transfer to production. If you can design a distributed system but go blank when someone says "add an AI feature", then this is for you. The Invariant Newsletter: https://www.theinvariant.tech (Free Course) The Software Engineer's Guide to How LLMs Work: https://www.theinvariant.tech/learn/how-llms-work/ How AI Thinks Book: https://www.howaithinks.dev
Georgia Institute of Technology
Master's degree, Computer Science, Specialising in Machine Learning
January 1, 2021 – Present
University of Mumbai
Bachelor of Enginnering, Electronics and Telecommunications Engineering
January 1, 2008 – January 1, 2012
WebEngage
Director of AI
September 1, 2025 – Present
WebEngage
Director, Tech & AI
October 1, 2023 – September 1, 2025
Dozee
Director Of Engineering
July 1, 2022 – August 1, 2023
WebEngage
Director Of Engineering
October 1, 2019 – June 1, 2022
Mumbai Metropolitan Region
EdCast
Technical Architect
June 1, 2016 – October 1, 2019
Mumbai
Self-Employed
Software Consultant
January 1, 2012 – May 1, 2016
Mumbai
Cultural Fit Analysis
The candidate has a diverse background spanning startups and established companies, with roles evolving from Technical Architect to Director of AI. This indicates adaptability and a growth mindset. Their experience in building teams and driving adoption aligns with a collaborative culture. However, the resume lacks explicit details on contributions to open-source, community involvement, or specific examples of collaboration beyond team leadership, which could further strengthen cultural fit assessment.
Soft Skills & Operational Fit
The candidate's experience as Director of AI/Engineering at multiple companies indicates strong leadership, strategic planning, team management, and problem-solving skills. Their focus on robust, cost-effective, and evolutionary architecture suggests a pragmatic and forward-thinking approach. Experience in regulatory affairs and internal tool building also points to strong operational capabilities.