Edwin Onuonga is a Machine Learning Developer in R&D with nine years’ experience building scalable probabilistic models and production-grade ML infrastructure, currently working at SAS after contributing to Hazy’s acquisition. He specializes in Bayesian approaches and sequential data, bringing practical expertise in conditional generative models and privacy-preserving synthetic data for large-scale enterprise analytics. Edwin has a strong engineering background bridging research and product: from improving runtime and memory scaling to integrating models with cloud data pipelines and storage systems. His work at startups like Nibble shows a knack for turning conversation datasets into actionable ML features for customer-facing agents, while his academic training in statistics and computer science at the University of Edinburgh underpins a rigorous, uncertainty-aware approach to modeling.
9 years of coding experience
4 years of employment as a software developer
Master's Degree Statistics with Data Science – School of Mathematics, Master's Degree Statistics with Data Science – School of Mathematics at The University of Edinburgh
Contributions:2 commits, 1 push, 1 branch in 4 months
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