Sayali Kulkarni

About Sayali Kulkarni

I\'m a Senior AI Product Manager at Amazon leading GenAI strategy for Fashion — from diagnosing model capability gaps to shipping customer-facing products that perform at scale. My work sits at the intersection of model development and product: I define what \"good\" looks like for AI systems, make the architectural bets to get there, and own the full arc from problem definition through experimentation, launch, and iteration. Some things I care about deeply as a PM: rigorous evals, building 0→1 systems that create leverage across teams rather than one-off solutions, and translating non-linear research progress into organizational clarity.Outside of my day job, I peer review at NeurIPS, ICML, and IJCAI — which keeps me close to what\'s actually advancing in the field and helps me make better bets on where model capabilities are heading.Technical depth: multimodal models, RLHF, post-training alignment, LLM-as-Judge, agentic AI, A/B experimentation, causal inference, machine learning

Experience

1. Senior Product Manager - Technical

   Amazon

   Jan 2025 — Present · Seattle, WA, US

   Leading AI product strategy for Fashion\'s recommendation experience, driving the architectural shift to multimodal AI and aligning cross-functional science and engineering teams around a shared vision and success metrics.a. Owning end-to-end development of a vision language model — from problem framing through architecture, experimentation, and launch — delivering meaningful quality improvements at faster iteration speed.b. Built and scaled the team\'s model evaluation infrastructure, evolving from manual processes to an LLM-as-Judge framework with human oversight, establishing evals as a core product practice.c. Launched customer-facing AI experiments with embedded quality guardrails, driving measurable improvements in engagement and business outcomes.d. Built a 0→1 Agentic AI tool as a solo builder in 3 months, combining programmatic reasoning with LLMs and human-in-the-loop oversight for high-stakes decisions.

Education

• University of Washington

  Master of Science - MS, Information Management

  2018 — 2020

• University of Mumbai

  Bachelor of Engineering - BE, Electronics Engineering

  2013 — 2017