Delta Evals was founded by Sherif Bakr, a Computer Science PhD candidate, IEEE Senior Member, and USPTO patent holder with graduate training in both software engineering and mechanical engineering.
Sherif’s doctoral work focuses on multi-agent labeling, soft-label distributions, LLM calibration, reinforcement learning, and active learning. That research directly informs Delta Evals’ approach: combine calibrated human experts, structured rubrics, disagreement modeling, and audit-ready QA to produce higher-signal evaluation data for frontier AI teams.
Before Delta Evals, Sherif worked across AI trust and safety, software engineering, and applied research, including experience with technical evaluation workflows, engineering-heavy problem domains, and research at a U.S. national defense research laboratory.