Billy Oropallo

About Billy Oropallo

VP of Engineering and AI Platform leader with a Ph.D. in Computer Science and Engineering who builds enterprise-scale, compliant platforms that ship fast and pay for themselves. At Elevance Health, cut time-to-market by 75%, reduced costs by 90%, and delivered AI products used by 100k+ users. Experience leading a 100+ global org across product, data, and cloud, managing a $20M platform budget, and operating in regulated environments. Excels in designing and scaling cloud-native and data-driven platforms that democratize insights, optimize costs, and align with strategic goals. Aims to leverage cutting-edge technology to support diverse functions and deliver measurable business value.

Experience

1. Staff VP of Ai Technology

   Elevance Health

   Jan 2024 — Present

   Drove strategic and scalable adoption by consolidating into a single GenAI/ML platform, cutting time-to-market from 3 months to 6 weeks, slashed LLM costs 90%+ by unifying, and replaced one-offs with reusable services and standard APIs with policy-as-code; HIPAA-ready scale- Deployed multiple enterprise-wide GenAI solutions; a 100k-user AI chatbot resulting in $13M/yr in SG & A productivity savings, an HR Assistant for all US associates to streamline operations workflows, and a Medicaid RFP drafting copilot which provided a 20% labor reduction, freeing teams for higher-value strategy- Insourced a proprietary ML engine to a near-zero-cost open-source stack, achieving a 95% reduction in operational expense ($6M/yr), improving AI performance by 40%, and delivering in 7 months, ahead of the initial 18+ months estimate- Built and led a high-performing 100+ cross-functional team, spanning full-stack, AI/ML, SDET, cloud infra, security, and DevOps while integrating resources from hyperscalers like AWS, Azure, and GCP, partners like OpenAI and Deloitte, and global resources in India and Ireland- Unlocked $12M+/yr in incremental investment (separate from the BU’s operating budget), focusing spend on reusable services and delivered substantial business value by collaborating directly with senior leadership to align initiatives with long-term enterprise goals- Enabled enterprise-wide access to AI through a hybrid build-and-buy strategy, culminating in the launch of a Generative AI-focused platform that democratized AI capabilities across the organization- Championed advanced SDLC patterns, zero-trust security models, and data protection protocols, ensuring compliance across greenfield and legacy systems while working closely with legal, compliance, privacy, and audit teams to meet state and federal regulations.

Education

• University of South Florida

  Doctor of Philosophy - PhD, Computer Science and Engineering

  2018

• University of South Florida

  Bachelor of Science - BS, Computer Science

  2011

• University of South Florida

  Master of Science - MS, Computer Science

  2014