Looking for a job

abdelrahman youssef

@abdelrahmanyoussef

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I build LLM evaluation systems, data products, and high-performance full-stack applications.

United States

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What I'm looking for

I'm looking to build and evaluate AI systems where rigorous benchmarking, practical ML, data analysis, and scalable software engineering directly improve product outcomes.

I'm contributing to frontier LLM fine-tuning at Outlier and developing high-signal agent benchmarks as an ML Researcher at Alignerr. I create domain-faithful research problems, deterministic autograders, reference solutions, and calibrated scoring curves.

At the University of Rochester, I led full-stack development for systems serving 12K+ users. I improved p95 load speeds from over three seconds to under 200ms, reduced authentication support tickets by 80% through SSO, and cut AWS operational costs by 25%.

I've built projects spanning LLM benchmarking, autonomous-agent workflows, customer-churn prediction, conversational avatars, and neuroevolution simulations. My work combines Python, TypeScript, ML tooling, cloud infrastructure, and practical data analysis to turn complex systems into measurable outcomes.

Experience

Work history, roles, and key accomplishments

Lead Full-Stack Developer

University of Rochester

Aug 2019 - Dec 2023 (4 years 4 months)

Analyzed system usage metrics across 12K+ users to optimize query performance, improving p95 load speeds from >3s to <200ms via server-side pagination and caching. Integrated SSO architecture, leading to an 80% drop in authentication support tickets and dramatically improving user experience metrics.

SQL Performance Optimization Caching SSO AWS Cost Benefit Analysis Cloud Infrastructure