01
Founders · Engineering VPs · VCs
AI Advisor & Thought Partner
Architecture reviews and product strategy for production ML ranking, agentic orchestration, and inference economics.
Upcoming Stage
API Days Paris (Dec 2026 · Paris, France) — Designing APIs for Agentic Systems
Book a briefing or invite →
13x AI & Open Source Award Winner
Google Developer Advisory Board
Architecting production AI—and teaching teams how to build, evaluate, and trust it.
I'm Jigyasa Grover—Machine Learning Tech Lead at Uber, LinkedIn Learning instructor, co-author of Sculpting Data for ML, startup advisor, and international keynote speaker.
Current: ML Tech Lead @ Uber
Ecosystem: Google gDAB & AI/ML GDE
Previously: Bordo AI · Faire · Twitter (X) · Meta
Alma Mater: M.S. CS (AI), UC San Diego
13+
AI & Open Source Awards
VentureBeat, Red Hat, Rise R&D, Women in AI NA, DTU Alumni
200+
Keynotes, Talks & Panels
Google I/O Keynote, Cloud Next, OSS Summit, UN & Harvard
50K+
Engineers & Leaders Trained
LinkedIn Learning (44K+), Morgan Stanley, FedEx, Accenture & Roblox
30+
Advisory & Consulting Orgs
Via Afterdays · Google gDAB, Anthropic, Spotify, Windsurf & VCs
Selective Collaborations
Ways we can work together
02
Conferences · Developer Summits · Offsites
Conference & Keynote Speaker
Grounded, story-driven keynotes, technical sessions, and executive panels bridging production systems and emerging AI.
03
Corporate L&D · Engineering & Platform Teams
Corporate AI Trainer & Workshop Lead
Hands-on bootcamps taking engineering teams from brittle prompt prototypes to evaluated, production-ready AI agents.
04
AI Platforms · Cloud · DevTools
Technical Creator & Brand Partner
Code-backed tutorials, reference apps, and launch analyses reaching an audience that is 82% senior engineers and tech leaders.
05
Publishers · Learning Platforms · Research
Author & Curriculum Partner
Books, peer-reviewed chapters, and professional certificate tracks translating ML research into durable engineering practice.
06
Journalists · Podcasts · Broadcast TV
Media & Industry Commentary
Clear, hype-free practitioner commentary on production AI, autonomous agents, synthetic media, and data privacy.
Selected Ecosystem & Brand Collaborations
Google ·
Google DeepMind ·
Google Cloud ·
LinkedIn Learning ·
Meta ·
Udacity × FedEx ·
Qodo ·
Parallel Web Systems ·
SenseLab (a16z Speedrun) ·
Adobe ·
Opaque Systems ·
Pensieve ·
Guidde ·
Simplilearn
Verified Reviews · 5.0★ Across 130+ Sessions
What founders, leaders & learners say
★★★★★ 5.0★
Topmate ↗
“Jigyasa is an expert, and even 15 minutes of her time was incredibly valuable to me and my organization.”
★★★★★ 5.0★
Intro ↗
“Jigyasa is wonderful to connect with and has incredible insight on trends in AI and how to build & market for marketplaces globally.”
★★★★★ 5.0★
Topmate ↗
“Jigyasa has a lot to share if you can ask the right questions. She has tons of exposure to developing and rolling out products to millions of customers.”
Watch Google I/O Keynote Clip ↗
Google I/O Main Keynote · Shoreline Amphitheatre · Introduced by Sundar Pichai (147K+ views)
Keynotes & International Stages
200+ talks across 20+ countries—grounded in real systems
Named among Sessionize's Top 3% Speakers globally, I deliver technical keynotes, conference talks, and executive panels across Google I/O, Google Cloud Next, Linux Foundation Open Source Summit, Codemotion Milan, AGNTCon + MCPCon Europe, API Days, and PyCon US.
Hands-On AI Engineering
Selected systems & open-source builds
TorchTPU Doctor — Agent Skill & Profiler for PyTorch on Cloud TPUs
Agent Skill, AST linter, and TorchDispatchMode profiler for native PyTorch (torch_tpu)—cutting Cloud TPU v6e LoRA step time 2,537× (47.3s → 18.6ms) and driving upstream fixes in Hugging Face transformers & peft.
PyTorch (torch_tpu)
Cloud TPU v6e
Agent Skill & AST
Proof of Work — Agentic Video Teaching Assistant
Multimodal Gemini agent that evaluates software engineering process, debugging maturity, and hypothesis iteration from continuous screen recordings with timestamped visual evidence.
Gemini Multimodal Video
Agentic Evaluation
TypeScript
Startup on a Shoestring — Agent Cost & Token Guardrails
Per-turn and cumulative budget circuit-breakers built on Google Antigravity SDK lifecycle hooks and FastAPI SSE telemetry to halt runaway token loops.
Google Antigravity SDK
Python
FastAPI SSE
Trust at Top Speed — Split-Brain Edge/Cloud AI Racing Coach
Field-tested at Thunderhill Raceway: ~15ms on-device Gemini Nano voice cues and physics safety gates paired with Cloud Run lap telemetry reasoning.
Gemini Nano
Gemini 3.0 Flash
Google Cloud Run
Books, Courses & Technical Journal
Durable AI education & recent essays
Published Book · 95+ Citations · 44K+ Course Learners
Sculpting Data for ML: The First Act of Machine Learning
Co-authored with Rishabh Misra—a hands-on Python guide to Data-Centric AI covering dataset curation, weak supervision, labeling workflows, and class imbalance.
Forewords by: Prof. Julian McAuley (UC San Diego), Laurence Moroney, and Dr. Mengting Wan.
Technical Journal
Recent essays & benchmarks
Nov 2, 2026
Catching silent CPU fallbacks, hidden Hugging Face host syncs, and XLA recompiles in PyTorch on Cloud TPU v6e—cutting LoRA step time 2,537× (47.3s → 18.6ms) alongside upstream PRs to transformers & peft.
Fine-Tuning & Compute
Sep 8, 2026
How Proof of Work uses Gemini's agentic video understanding to evaluate software engineering process, debugging discipline, and hypothesis iteration from continuous screen recordings.
Agentic AI & Evaluation
Jun 28, 2026
Preventing quadratic token inflation and runaway self-correction loops in autonomous agents using Google Antigravity SDK lifecycle hooks and FastAPI SSE telemetry.
Agentic Infrastructure
Mar 30, 2026
Supervised fine-tuning (SFT) of Google's Gemma 3 1B on a Cloud TPU v5 Lite using a single Python decorator—zero Docker or Kubernetes YAML required.
Fine-Tuning & Compute
Social Pulse · 16K+ Practitioners
Recent dispatches across LinkedIn, X & Instagram
