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Emmanuel AdebisiEA
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Emmanuel Adebisi

@emmanueladebisi1

Staff software engineer improving large-scale platforms with backend, ML, and AWS.

United States
Message

What I'm looking for

I’m looking for a Staff/Senior engineering role where I can lead backend and ML work on AWS, improve scalability and latency, translate data into measurable outcomes, and mentor teams while raising engineering quality.

I’m a Staff Software Engineer who’s spent the last several years designing high-performance backend systems that directly move product metrics—whether that’s improving Prime benefit recommendations for 200M+ members at Amazon or scaling AI-driven health experiences at Oscar Health. At Amazon, I led backend and infrastructure work that improved real-time Prime recommendations by 15%, reduced recommendation latency by 25% during high-traffic events, and boosted Prime Day offer-driven sales by 20%.

I also build systems end-to-end: migrating legacy services to AWS to cut infrastructure costs by 30%, strengthening analytics frameworks to improve conversion by 12%, and integrating key mobile experiences. Earlier at Oscar Health, I developed core web and backend technologies, powered an AI claims assistant automating 48,000 investigations annually, and helped deliver virtual care that cut wait times by 90%—while mentoring junior engineers and driving clean, reliable engineering practices.

Experience

Work history, roles, and key accomplishments

Amazon logoAM
Current

Staff Software Engineer

Jan 2019 - Present (7 years 2 months)

Enhanced the Amazon Prime ecosystem for 200M+ members by designing backend systems for ML-driven recommendations, increasing usage by 15% and improving member engagement and retention. Reduced recommendation latency by 25% during Prime Day at scale, integrated personalized Prime Day offers to boost sales by 20%, and migrated legacy systems to AWS to cut infrastructure costs by 30%.

Oscar Health logoOH

Software Engineer

Jan 2014 - Jan 2019 (5 years)

Built and optimized Oscar Health core web and backend systems for 2M+ members, streamlining access to benefits and reducing service response time by 50%. Developed AI-driven claims and virtual care capabilities, automating 48,000 claim investigations annually, reducing member wait times by 90%, and improving provider efficiency by 28%, while enhancing security and authentication with OAuth 2.0.

Education

Degrees, certifications, and relevant coursework

University of Pennsylvania logoUP

University of Pennsylvania

Master of Science in Computer Science, Computer Science

Completed a Master of Science in Computer Science at the University of Pennsylvania in 2014.

University of Pennsylvania logoUP

University of Pennsylvania

Bachelor of Science in Computer Science, Computer Science

2010 - 2014

Earned a Bachelor of Science in Computer Science from the University of Pennsylvania from 2010 to 2014.

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