From fuel stations in Mumbai to AI programs in Ohio
A 22-year career, 13 of them in the US, built on one habit: prove it works before anyone depends on it.
I started in 2003 as an instrumentation engineer at Reliance Industries, visiting fuel stations across India to check pumps, satellite links and point of sale systems by hand for a Retalix rollout that grew from 3 pilot outlets to about 2,300. That job taught me something I still use every day: a system only works when the people using it trust it.
Over the next decade I moved through integration and test lead roles at IBM, Capgemini and Accenture, on derivatives trading for Deutsche Bank, Europe's first mobile number portability platform and life insurance used by more than 40 carriers. At Infosys in Dublin I led teams of more than 30 across the US, Ireland and India for Capital One, Target and Aer Lingus.
In Columbus I took on warehouse, order management, ERP and government programs: a 3PL platform serving more than 200 clients, Medicaid systems for the States of Delaware and Maryland, and the program at Big Lots that recovered USD 40M in inventory discrepancies.
Most recently I governed more than 12 data and AI programs for Nissan North America, and I now lead two AI programs for SPX Technologies.
Those early years of testing shaped how I see AI. A model that hasn't been checked against real operations is a risk, not a shortcut. I write about this at EchoEthics, and I keep responsible AI documentation and model validation part of every AI program I run.
How I lead
Four habits that have held up across 20 years of programs.
Start with the business problem
Every program I've run well began with a cost, a delay or a risk someone could name. Technology choices come after.
Tell the truth about where things stand
Steering committees need real status, not green dashboards. I separate true blockers from short-term friction and escalate early.
Validate before you trust
Clear acceptance criteria, phase gates and testing with the people who will use the system, whether it's a POS rollout or an AI model.
Hold every vendor to the plan
SOWs, change orders and milestones are managed in the open, so scope changes go through a decision, not a surprise.
Career at a glance
A summary is in my one-page profile.
| Years | Company | Role |
|---|---|---|
| 2024 to now | Random Trees | Program Manager, AI and Data Platforms. Clients: SPX Technologies, Nissan North America |
| 2018 to 2024 | Everest Technologies, Columbus | Technical Program Manager and Delivery Manager |
| 2017 to 2018 | Winsupply, Dayton | Product Manager, Product Data and Distribution Operations |
| 2014 to 2017 | Tech Mahindra Americas, Columbus | Project Manager, Warehouse and Supply Chain Operations |
| 2010 to 2014 | Infosys, Dublin | Project Lead, Client Delivery and Account Management |
| 2008 to 2010 | Accenture, Mumbai | Team Lead, Insurance Platform and Presales Support |
| 2007 to 2008 | Capgemini, Mumbai | Integration Lead, Telecom Number Portability |
| 2007 | IBM, Pune | Data and Compliance Analyst, Derivatives Trading |
| 2003 to 2007 | Reliance Industries, Mumbai | Engineer, Retalix Fuel Retail Rollout |
Certifications
- PMPProject Management Institute, 2024
- Certified ScrumMasterScrum Alliance, 2021
- Ethics of Artificial IntelligenceUniversity of Helsinki
- Conversational AI ComplianceLinux Foundation
- ISC2 security certification
- HIPAA Privacy Training, Fortinet NSE 1
Education
- MS, Data Science, Analytics and Applied AIEastern University, expected 2027
- BE, Electronics and InstrumentationKarunya Institute of Technology, Bharathiar University
Hiring for a senior program or AI delivery role?
I'm open to Senior TPM, Program Director, Delivery Head and AI program leadership roles. Remote, hybrid in Columbus, or relocation for the right role.