I lead AI Solutions Architecture work at AWS, built and coached large technical teams, and keep my product instincts sharp by shipping consumer AI products and turning lessons into public notes.
The profile should read like a progression: delivery discipline, enterprise systems, cloud architecture, AI leadership, then products that prove the judgment in public.
SAP implementation work across manufacturing, pharma, energy, and public-sector programs built the habit of starting with process, data quality, testing, and support reality.
IBM SAP-on-AWS and enterprise platform programs sharpened the architecture lens: dependency mapping, migration risk, stakeholder alignment, operating model, and cutover discipline.
At AWS, global account work connected technology choices to executive tradeoffs, commercial urgency, migration strategy, and customer trust at enterprise scale.
Leading AI Solutions Architecture means turning AI demand into field execution, customer programs, architecture judgment, hiring, coaching, and operating cadence.
These are not resume decorations. Each product forces decisions about users, trust, workflow, economics, support, and what AI should actually own.
A learning product that turns serious books into visual, listenable, queryable chapters.
Open Beta MoneyVibeA personal finance operating system that converts cash flow, debt, savings, and goals into next-best action.
Open Live TiffinPalA marketplace for South Asian home-chef meals, subscriptions, chef operations, pickup, and delivery.
Open Building LegacyPalA voice companion that checks in with aging loved ones and turns conversations into a searchable family memory layer.
DetailsFoster School of Business, University of Washington.
Machine Learning foundational program.
Solutions Architect Professional and Associate.
Bachelor of Engineering, Mumbai University.