ANANT SAXENA

- Spearheading end-to-end platform strategy for TurboTax Mobile and UI Runtime — a $700M+ revenue product surface — defining a 3-horizon roadmap that aligned 50+ engineers across US, India, and Canada to a unified AI-native architecture. - Driving horizontal platform enablement across TurboTax Immersive, Full Service, and Business — owning UI Runtime and shared mobile services that power multiple product lines, reducing per-product engineering overhead and compressing time-to-launch for new experiences. - Redesigned monolithic mobile codebase into a modular, shared-services architecture — reducing time-to-experiment for new GenAI features by ~40% and enabling parallel delivery across 5 independent product teams. - Embedded LLM-powered expert assistance into core filing journeys for 10M+ mobile users — driving a measurable lift in assisted revenue and increasing customer trust scores. - Modernized CI/CD pipelines and engineering standards — improving build times, release reliability, and operational resilience through peak tax-season traffic spikes. - Established platform experimentation frameworks enabling rapid A/B testing of AI features at scale across millions of active users.

- Scaled engineering org 3x — from 40 to 120 engineers in 18 months — by launching two new international hubs (Toronto, India) and building a leadership pipeline of 6 Senior Managers and 4 Principal Engineers. - Founded and led the AI Productivity (“Done For You”) Experiences team — delivering AutoBDR (AI-powered autonomous business development workflows) and AI summarization tools that increased seller customer-facing time from 27% to 32%, unlocking ~16 hours of productive selling time per seller per week. - Owned FY25–26 transformation roadmap for the $1.4B Expert Platform — delivering 3 major capability milestones aligned to mid-market growth, reducing platform dependency debt and accelerating feature velocity for the B2B sales org. - Architected Adobe Marketo + AEP bi-directional integration from 0→1 — enabling real-time lead capture across multiple channels and cutting lead-to-CRM sync latency from 8 hrs to near real-time, powering a scalable multi-tenant B2B growth engine.

- Co-developed production LLM optimization strategy with Anthropic — defining domain-specific prompting patterns, safety guardrails, and compliance constraints that enabled Claude to operate accurately in a regulated tax environment at scale. - Conceived and delivered Intuit’s first custom Tax LLM end-to-end — from data strategy and fine-tuning through production deployment — achieving 80% tax guidance accuracy and enabling automated Q&A across core TurboTax filing journeys. - Launched GenAI-powered customer experiences serving 24M users — improving tax accuracy to 80% and generating $15M in incremental revenue in the first production cycle. - Built the Crowdscale HITL platform from 0→1 — reducing expert labeling time from 10 hours to under 1 hour (90% reduction) across 500+ response categories, directly accelerating LLM training velocity. - Led a 60+ person org (Senior Managers, Principal Engineers) delivering agentic and GenAI systems across the core TurboTax product; shipped a 0→1 AI-driven TurboTax Express enabling 10-minute mobile tax filing to 15M+ users, generating $600M+ in revenue.

- Led iOS and Android development for Turbo/Mint across a 25-person global team, sustaining reliability and feature delivery for 20M+ active users while maintaining a 4.7+ App Store rating. - Executed app convergence strategy — created modular codebase and dynamic eventing system, cutting feature experimentation time from 27 to 10 days, improving app launch time by 37%, and reducing iOS/Android build times by ~50%. - Reorganized engineering into full-stack 2-pizza teams with cross-functional mobile/web ownership, reducing story delivery time from 12 to 3 days.

- Led 10–15 engineers to overhaul TurboTax’s quality engineering foundation — cutting regression cycle time from 8 hours to 45 minutes (>90% reduction) and enabling weekly release cadence at scale. - Built CI/CD and testing platforms (Jenkins, Java frameworks) that reduced manual testing effort, improved system reliability, and enabled faster shipping with production confidence.

M.S.

San Diego State University

August 2008 - May 2010

Field: Computer Science