Haris Riaz
PhD Candidate
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHaris Riaz is a PhD student and ML research scientist focused on integrating structured expert knowledge with large language models to improve reasoning and reward signals. With nine years of experience spanning internships at Scale AI, AWS Agentic AI Labs, Kaiser Permanente, and CERN, he builds neuro-symbolic systems, meta-algorithms for diverse synthetic data, and RAG frameworks that incorporate causality and pragmatics. His work includes creating weak-supervision pipelines to synthesize reward feedback and assembling million-note labeled datasets for high-performing clinical NLP deployed in production. Comfortable bridging research and production, he has contributed to agentic multi-agent RL and published preprints on meta-prompting for synthetic data generation. Based in the Bay Area, he combines deep academic training with practical engineering chops and a knack for turning structured linguistic insights into scalable ML solutions.
9 years of coding experience
3 years of employment as a software developer
The University of ArizonaBachelor of Science - BS, Computer Science, 3.75/4, Bachelor of Science - BS, Computer Science, 3.75/4 at National University of Sciences and Technology (NUST)
Github Skills (58)
dotnet10
dotnet-core10
fsharp10
csharp10
sequential10
javascript9
markdown9
pytorch9
python9
classification9
natural-language-processing9
dsa-algorithm9
regression9
mozilla9
nlp9
Programming languages (12)
Github contributions (5)
hriaz17/DeepFilter
Dec 2019 - Jul 2022
Apply deep dream and neural style transfer filters on your photos and share with friends!
Contributions:12 commits, 3 PRs, 12 pushes in 2 years 7 months
photosstyle-transferfiltersdeep-learningapply
harisriaz17/TPCwithDNN
Sep 2020 - Jun 2022
Contributions:8 pushes, 2 branches in 1 year 9 months
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