Palo Alto, CA · AI / ML Program Leadership

Rehaan
Jahanghir

Technical program leader for AI/ML organizations. Currently on the AI Labs team at NVIDIA, working at the intersection of frontier AI and accelerated computing; previously led AI Modeling programs across Google Ads. MBA candidate (Data Science concentration) at Santa Clara University.

Experience

May 2026 — Present

Technical Program Manager, AI Labs

NVIDIA · Santa Clara, CA

  • Track AI accelerator adoption and market trends across frontier AI labs, synthesizing model releases, technical reports, and infrastructure signals into market intelligence for leadership.
  • Built an automated adoption-tracking pipeline — Hugging Face API ingestion, LLM-based structured extraction from model cards, and Looker Studio dashboards on Colab Enterprise — replacing manual monitoring with a transparent, auditable source of truth for semi-technical stakeholders.
Oct 2019 — May 2026

Technical Program Manager, AI Modeling Quality

Google, Mobile App Ads · Mountain View, CA

  • Lead TPgM for AI Modeling Quality, a 300+ engineer organization spanning AdMob, Play, Search, and YouTube, responsible for training-data quality and the models powering App Promo campaigns.
  • Designed the team's end-to-end operating framework (OKRs, performance metrics, product roadmap), resolving a multi-year leadership impasse and replacing ad-hoc workflows with a unified, data-driven operating model.
  • Identified and systematically addressed data-quality issues, capturing $1B+ in missing revenue and giving leadership clarity to prioritize high-ROI initiatives.
  • Improved customer-facing bug-response SLO by ~50% by rearchitecting a flawed triage process; earned an internal award from VP leadership.
  • Accelerated AI model launch velocity ~40% YoY by standardizing release documentation and decision protocols while sustaining model quality and safety.
  • Replaced manual reporting with an automated, centralized source of truth (Python, SQL, Looker), cutting operational overhead ~95% while improving executive decision quality.
2017 — 2019

Senior Venture Analyst, AI Infrastructure

Runway Startup Accelerator · Mountain View, CA

  • Evaluated early-stage AI infrastructure startups for corporate VC clients (Toyota, LG, SoftBank), conducting due diligence with founders at Groq, Run:AI, and Xnor.AI.
  • Delivered research on product-market fit and competitive positioning, contributing to $100M+ combined investments, acquisitions, and exits.

Earlier: analyst at a Wells Fargo–affiliated hedge fund, 2016–2017.

Skills

Program
SDLC, roadmap planning, cross-functional leadership, stakeholder management, continuous process improvement
Data
Python (pandas, NumPy, scikit-learn, SciPy, Matplotlib), R, advanced SQL, Looker, Power BI, Tableau
Infra
Google Cloud Platform, Colab Enterprise, Spark, Hive, Airflow, REST API integrations, LLM APIs

Education

Dec 2026

Santa Clara University

MBA, Data Science concentration — machine learning, statistical modeling, database management

2016

UC Davis

B.A. Economics