Mountain View, CA

Priya Venkat, PhD

Senior AI Science Manager at Intuit, leading teams that build and scale agentic AI systems for personalized finance. PhD in Electrical & Computer Engineering, Texas A&M University.

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About

Priya holds a PhD in Electrical Engineering from Texas A&M University, where her research applied Bayesian inference methods to genomic data — work published in venues including the Journal of Computational Biology. That background in rigorous statistical modeling now shows up in how she approaches production AI: measured, evaluation-first, and skeptical of anything that can't be tested.

She led teams building production AI systems and fine-tuned LLMs for education at Chegg, and now leads AI science teams at Intuit, where she builds personalized, agentic AI systems for finance. Her work integrates cutting-edge agentic workflows with robust evaluation systems — driving business impact while keeping safety, reliability, and compliance non-negotiable.

Priya is a strong advocate of responsible AI, mentors early-career AI scientists and engineers, and advises startups on AI strategy.

Experience

Senior AI Science Manager — Intuit

Jan 2025 — present

Agentic AI, TurboTax & enterprise-wide product suite

Directed cross-functional teams to design and deploy customer-facing and expert-facing agentic AI systems in production, driving personalized consumer interactions. +$2M incremental revenue
Led initiatives integrating generative AI with traditional ML models to deliver measurable business improvements, and spearheaded AI solutions across internal product teams.

Senior Data Science Manager — Chegg

Apr 2023 — Aug 2024

Production AI systems for academic Q&A

Directed the revamping of production systems to harness AI, guiding 3 teams of 16 full-stack ML engineers. 50x faster Q&A
Facilitated adoption of best practices for integrating custom-trained and commercial LLMs into production, partnering with Product, Engineering, and Safety.
Spearheaded custom LLMs trained on curated educational data. +8% response accuracy

Data Science Manager — Chegg

Oct 2019 — Mar 2023

Search, content tagging & user segmentation

Created the long-term vision and technical roadmap for Search, Content Tagging, and User Segmentation, in partnership with Product and Business leaders.
Led development of a churn prediction model. +0.8% retention lift
Managed a team of 8 data scientists, introducing continuous learning practices and intra-team mentoring.

Senior Data Scientist — Chegg

Mar 2017 — Sep 2019

End-to-end ML delivery

Owned the end-to-end ML lifecycle — requirements, modeling, ETL pipelines, training and testing, and stakeholder delivery — from first line of code to measurable business results.