Hands-on technical advisory through Afterdays on production ML ranking, agentic AI orchestration, evaluation harnesses, and inference economics.
Through my independent practice, Afterdays, we work directly on your architecture, latency/cost trade-offs, and product roadmap—informed by shipping production systems at Uber, Bordo AI, Faire, Twitter/X, and Meta, serving on the Google Developer Advisory Board, and consulting or advising 30+ teams (including Anthropic, Google, Meta, Apple, Microsoft, Spotify, Adobe, Figma, Atlassian, Coinbase, Windsurf, Base44, Diem AI, Bezoku AI, Okareo, and Founders Circle Capital).
Separate workflows best served by state machines or single-step retrieval from genuine multi-agent topologies, auditing MCP schemas, memory, and routing.
Design calibrated multi-task ranking pipelines, real-time feature stores, cold-start smoothing, and sub-50ms serving architectures.
Build golden datasets, trajectory assertions, Pass@k benchmarks, calibrated LLM-as-a-Judge rubrics, and per-turn token circuit breakers.
Pressure-test API contracts, onboarding friction, and technical positioning for AI infrastructure and developer tools selling to senior engineers.
“Jigyasa is an excellent communicator, advisor and thought partner. She shared her journey authentically, making our conversation engaging and inspiring. She guided me toward a path tailored to my needs. She is a great thought partner and advisor. I would recommend her in a heartbeat.”
“Jigyasa was superb. She really helped me as a non-technical person begin to understand the finer details of building an LM for the new venture I'm working on. Highly recommended!”
“She is a true star, and yet is so down-to-earth and easy to talk to. She doesn't have any airs about her, and any question is a good question. I came out of the 30 mins meeting with lot of insights and resources that I can apply at my startup.”
“Her attention and suggestions significantly enhanced my deck for presenting to judges, mentors, and other Sac ecosystem stakeholders. She provided actionable advice that was insightful. I highly recommend her to any startup or innovator seeking expert guidance.”
Production ML ranking and personalization, feature stores, multi-agent orchestration vs. deterministic workflows, LLM evaluation harnesses, inference cost guardrails, and developer GTM.
Book focused 1:1 architecture or strategy calls via Intro or Topmate, or inquire via Work With Me for ongoing startup advisory retainers through her independent practice, Afterdays.