Abhishek Agrawal

Senior Director @Oracle| Health & AI | Ex - LinkedIn, Amazon Exec | Driving Generative AI, SaaS & Revenue Growth

San Francisco, California, United States

About

As a seasoned engineering executive with 20+ years of impact at Oracle, Amazon, LinkedIn, and as Head of Engineering at State Affairs (Series B, backed by Khosla Ventures and Founders Fund), I specialize in building high-performance engineering organizations and delivering transformative AI/ML-powered products at scale. At State Affairs, I built the engineering org from the ground up—driving innovation through Generative AI and machine learning to launch consumer-facing experiences across all 50 states. Previously, at LinkedIn and Amazon, I led engineering for multi-billion-dollar business lines with sub-second latency, 99.9% uptime, and direct revenue impact in the hundreds of millions. My leadership spans global, cross-functional teams (300+ FTEs), full-stack and data-intensive systems, and enterprise-grade SaaS products. I also launched widely adopted open-source platforms like DataHub (for metadata and GDPR compliance) and Dr. Elephant (for Spark optimization), advancing compliance, reliability, and discovery across data platforms. I lead with a hands-on, no-ego approach—balancing vision with execution. I thrive in both the 0→1 and 10→100 stages and seek out opportunities that combine deep technical challenges with meaningful business growth. I hold a Computer Science degree from BITS, Pilani and an Executive MBA in Marketing. I’m always open to conversations about ambitious tech missions, leadership opportunities, or collaborations.

Experience

  • Senior Director of Engineering at Oracle
    Aug 2025 - Present · 11 mos

    Senior Director of Engineering — Oracle Health AI . Leading multiple engineering orgs in Oracle - Health and AI. > Leading a 350+ worldwide engineering org across US, Europe & India. > Own Clinical product development and delivery of Oracle Health & AI via cloud-native services on OCI. > Driving the strategy and delivery of generative-AI (LLMs, RAG, Agentic workflows) at healthcare scale on OCI, with HIPAA-grade security, reliability, and ML governance. > Build and deliver clinical products and GTM for Physicians, Nurses and Lab persona journeys in Medication Administration, Critical Care, Anatomic Pathology, General Labs, Microbiology, Blood Bank with measurable customer impact. > Build an AI-first development and performance culture: SLOs, reliability, cost efficiency, privacy-by-design, and AIOps/MLOps governance. > Hire, coach, and scale Sr. Directors/Directors; strengthen architecture, quality, and delivery velocity. Generative AI • LLMs • RAG • Agentic AI • MLOps • Healthcare • HIPAA • FHIR • EHR • OCI • Distributed Systems • Platform Engineering • Reliability/SRE • Data Platforms

  • Angel Investor & Advisor at Stealth Mode Startup
    Jan 2022 - Present · 4 yrs 6 mos

    Angel investor for pre-seed, seed or series A startups.

  • Head of Engineering at State Affairs
    May 2024 - May 2025 · 1 yr 1 mo

    Built AI-first platform from scratch; scaled to 50 states and unlocked multi-million SaaS revenue Built and scaled the entire engineering organization from the ground up across full stack (MERN), Mobile, Data, Infra, DevOps, and AI/ML. Spearheaded the launch of mobile and AI-powered products, expanding the platform from 7 states to all 50 US states. Designed and led development of the core Legislative Data Platform powering product experiences. Delivered enterprise SaaS features unlocking multi-million-dollar deals and directly contributing to Series B fundraising. Established engineering culture and hiring infrastructure to support rapid scale-up. Led revenue-impacting initiatives across product, data, and customer-facing experiences.

  • Engineering Leader at LinkedIn
    Jul 2014 - Dec 2023 · 9 yrs 6 mos

    Led multiple charters across Ads, Learning, Enterprise Platform, Data Infra in my 10 years tour of duty at LinkedIn. Ads Supply & Ranking (2022 – 2023) - Led multi-QPS Ads infra & ML ranking; launched CTV ads, driving $25M+ new revenue Led global backend and ML teams powering LinkedIn Ads infrastructure. Managed real-time bidding, exchange integrations, and compliance for multi-million QPS systems. Launched Connected TV (CTV) Ads initiative, generating $25M+ in new revenue. Scaled LinkedIn Audience Network (LAN) ML ranking systems to support 100% YoY growth. Learning Enterprise Foundation (2019 – 2022) - Scaled $300M+ Learning business; launched MSFT VIVA, cut churn, boosted engagement 50% Owned engineering across full-stack, analytics, and AI for LinkedIn Learning's $300M+ business. Built growth and onboarding systems increasing engagement by 50% and improving sign-in success. Launched enterprise integrations with LMS and Microsoft VIVA, driving 20% revenue uplift. Delivered reliable data infrastructure and zero-P0 issue stability for enterprise clients. Enterprise Applications Platform (2016 – 2019) - Built DataHub & Dr. Elephant; delivered GDPR compliance and 90%+ analytics platform adoption Architected systems powering LinkedIn's revenue-generating enterprise applications. Open-sourced flagship tools: DataHub and Dr. Elephant. Delivered GDPR compliance across org, saving millions via risk mitigation. Built new company-wide analytics platform used for 90%+ internal reporting. India Site Lead (2014 – 2016) - Built LinkedIn India eng org (100+); launched 0→1 teams and key consumer products Engineering site lead for LinkedIn India. Built LinkedIn India Data Infra and Engineering team (100+ cross-functional org). Launched hiring frameworks and 0→1 product teams. Delivered key features for consumer growth and monetization.

  • Software Development Manager at Amazon.com
    Dec 2009 - Jul 2014 · 4 yrs 8 mos

    Led global teams; launched Redshift-powered infra saving millions in data processing costs Led large-scale engineering initiatives across Amazon’s internal data infrastructure. Managed 30+ engineers across US and India teams. Launched AWS Redshift as a first-class compute engine for Amazon data warehouse, saving millions annually. Delivered high-scale, real-time data applications with microservices and ML integrations. Promoted rapidly from individual contributor to engineering leader.