Achal Soni is a software engineer with 8 years of experience building large-scale data and ML systems from Berkeley, California. He has driven production ML predictions at Uber and helped transition Stripe’s critical ETL pipelines to Spark, improving performance, reliability, and automation for business-critical data. At Twitter he worked on near-petabyte Scalding/Hadoop pipelines and real-time metric systems, reducing latency and resource footprint for company-wide experimentation. Comfortable across back-end, data platform, and real-time architectures, he pairs deep systems expertise with product-minded decisions that surface measurable business value. An early contributor to Hadoop ecosystem tooling during internships, he brings a history of prototyping infrastructure improvements that enable teams to operate at scale.
8 years of coding experience
5 years of employment as a software developer
B.S., Electrical Engineering and Computer Science Major • Applied Mathematics Minor, B.S., Electrical Engineering and Computer Science Major • Applied Mathematics Minor at University of California, Berkeley
Contributions:19 commits, 5 PRs, 14 pushes in 21 days
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