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Direct 1:1 architecture reviews, production ML guidance, and startup advisory calls.
126+ sessions · Top 50 US Tech Mentor for ML career strategy, pitch decks, and AMA calls.
Sponsored technical deep dives, SDK launches, and multi-channel developer campaigns.
Streamlined B2B and developer creator campaigns on LinkedIn and X.
“Jigyasa was amazing, clear, insightful, and so generous with her knowledge.”
“Jigyasa's responses to our inquiries on various assumptions in AI were clear-cut and insightful!”
“Loved the way Jigyasa broke down the approach to build a personal brand into actionable steps!”
Architecture reviews and product strategy for production ML ranking, agentic orchestration, and inference economics.
Principal at Afterdays (30+ startups, enterprises & VCs) · Google gDAB · ML Tech Lead at Uber.
Grounded, story-driven keynotes, technical sessions, and executive panels bridging production systems and emerging AI.
Google I/O main stage · Sessionize Top 3% globally · 200+ talks in 20+ countries.
Hands-on bootcamps taking engineering teams from brittle prompt prototypes to evaluated, production-ready AI agents.
44,000+ LinkedIn Learning learners · Training with Morgan Stanley, FedEx, Accenture, Roblox, SVSG & AI Aspire.
Code-backed tutorials, reference apps, and launch analyses reaching an audience that is 82% senior engineers and tech leaders.
325K+ annual LinkedIn impressions · Partnered with Google, DeepMind, Meta, Qodo, Parallel & Adobe.
Books, peer-reviewed chapters, and professional certificate tracks translating ML research into durable engineering practice.
Co-author of Sculpting Data for ML (95+ citations) · Springer & ACM author · O'Reilly & Packt reviewer.
Clear, hype-free practitioner commentary on production AI, autonomous agents, synthetic media, and data privacy.
Featured in Forbes, Business Insider, VentureBeat, UN ITU, NTD Live TV & Google Developers Blog.