Kenil Cheng is a Senior Data Scientist with eight years of hands-on experience building production ML and optimisation systems across logistics, e-commerce, and marketplace platforms. Currently at Bolt in Tallinn, he has driven probabilistic matching models and owned experimentation, metrics and simulation workflows to quantify business impact. His background spans startups and enterprise roles—from prototyping recommendation and search relevance engines to delivering high-throughput text classification (98% accuracy at 2000 items/sec) and constrained optimisation for logistics. A strong practitioner of "fail fast, fail often," he blends research-grade rigor (PhD in Computer Science) with product-focused delivery, routinely partnering with PMs to turn experiments into measurable features. Known for pragmatic, testable solutions, he brings deep algorithmic roots and operational experience shipping models at scale.
8 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at National University of Singapore
Contributions:16 commits, 10 pushes, 1 branch in 18 days
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