Recognition
Microsoft Copilot Hackathon — Winner
Designed and shipped a working AI-assisted workflow inside the hackathon window. Judged on usefulness, engineering rigor, and business fit.
Project Manager • AI Delivery Leader
I turn AI ambitioninto shipped outcomes—on time, under pressure.
Eight years translating executive strategy into delivered software. I lead mixed teams through AI adoption, delivery rescues, and the moments when the plan meets reality.
Based in
Pune, India
Experience
8 years delivery leadership
Focus
AI execution • Crisis delivery
Available
Select mandates, 2026
Jaid.
Value
What you hire,
when you hire me.
01
AI-Driven Execution
From Copilot and OpenAI pilots to production rollouts. I move AI out of the slide deck and into the workflow where it earns revenue.
02
Business ↔ Tech Translation
I sit between the boardroom and the backlog. Executives get clarity, engineers get direction, stakeholders get results they can defend.
03
Crisis & Delivery Leadership
Red projects, missed deadlines, frozen teams. I take the hand-off, rebuild confidence, and close the gap between committed and delivered.
About
I don’t manage projects. I operate as a business unit.
My work sits at the intersection of execution and transformation. Mobile, web, IoT, healthcare, GIS—domain is a variable, delivery is the constant.
I think like a CXO: the metric that matters, the cost of delay, the trade-off no one wants to name. Then I make the call, own the outcome, and bring the team with me.
8
Years in delivery leadership
20+
Products shipped end-to-end
5
Industries navigated
1
Microsoft Copilot hackathon win
Proof
Outcomes, not activity.
Selected signals. Names and metrics disclosed in conversation.
Product
AI-Powered Lead QC System
Built with GitHub Copilot, Python, OpenAI. Automated lead validation and compliance classification in real time—replacing manual review that blocked sales velocity.
Delivery
FFZA E-Services Portal
Took a stalled prototype and ran it to milestone delivery across agile increments, test phases, and stakeholder sign-off.
Scale
GACA — Government-grade GIS platform
Led a cross-functional team delivering an incident and survey system on ArcGIS for a national aviation authority. Mobile, web, GIS—one release cadence.
What I do
Three engagements. Clear mandates.
I
AI Implementation Advisory
Where to apply AI, where not to. I scope pilots that ship, select the stack, and align the org so adoption sticks past the demo.
Deliverables
- Use-case triage
- Stack + vendor selection
- Pilot-to-production roadmap
II
Project Execution & Governance
End-to-end program delivery for complex, multi-stakeholder software. Agile where it helps, discipline where it counts.
Deliverables
- Delivery cadence setup
- Executive reporting
- Risk + dependency control
Work
Problem. Action. Outcome.
Manual lead review was bleeding the sales funnel.
Problem
Lead validation was manual, inconsistent, and a bottleneck to sales velocity. Compliance checks were handled in spreadsheets.
Action
Designed and led delivery of an AI-powered QC system using GitHub Copilot and OpenAI. Integrated real-time classification and a reporting layer for ops.
Outcome
Lead qualification shifted from hours to seconds. Sales stopped waiting on ops. Reporting became a daily signal, not a monthly audit.
Speaking
I speak where delivery meets decision.
Keynotes, panels, and executive briefings. Private sessions for leadership teams under change.
Topic 01
AI in Execution
Moving AI out of the lab and into shipped workflows. What pilots survive contact with production—and why most don’t.
Topic 02
Leadership Under Pressure
What senior delivery leaders do in the first 72 hours of a red project. The decisions no playbook writes down.
Topic 03
Delivery Transformation
Rebuilding cadence, trust, and reporting inside stalled programs. A practical playbook, not a methodology pitch.
Signal
What leaders say.
Attributions provided on request from past engagements.
“Rare combination: understands the code, owns the outcome, respects the boardroom.”
03 / 03
Next step
If the next quarterhas to land—let’s talk.
For AI delivery mandates, CXO-level execution support, or rescue engagements.