Lower Merion Township, Pennsylvania, United States
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Summary
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Rockstar
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Top School
Daniel Cahall is a Lead Software Engineer with 8 years of experience building production-grade AI and data systems, currently designing agentic RAG workflows and anomaly detection platforms at Disney Streaming. He combines deep ML and data-engineering expertise—spanning scalable ingestion, ML inference, and AWS IaC—with hands-on product collaboration to turn operational data into automated, actionable insights. Daniel standardizes development practices across teams (modern dependency management, linting, CI/CD) and mentors engineers at all levels to improve delivery consistency. His background includes NLU/NLP model deployment and conversational agents at Disney Streaming Research, high-throughput ingestion and data-contract validation for Disney Experiences, and data-quality systems for precision medicine at Syapse. An early contributor to OpenCV, he brings computer vision and performance optimization experience from defense and research projects, and holds an M.S. in Electrical and Computer Engineering.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Rowan University
Contributions:16 reviews, 13 commits, 52 PRs in 10 months
Contributions summary:Daniel primarily contributed to the OpenCV library by implementing new features, improving existing ones, and adding/modifying tests. The commits include adding Python bindings and tests for the `composePanorama` function and integrating a ReLU activation option in the darknet module. The user also focused on performance optimization and addressing template matching issues, while also fixing loop boundary conditions.
Contributions:119 commits, 92 pushes, 1 branch in 3 years 4 months
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Daniel Cahall - Lead Software Engineer at Disney Streaming