Summary
Swati Ramachandran is a software engineer based in the Austin area with over a decade of professional experience and eight years focused on software and machine learning engineering roles. She has driven ML-driven verification tooling at Arm—building ETL pipelines, distributed Dask + Prefect deployments, and Jenkins-based CI/CD—to accelerate bug discovery and coverage closure. At Cadence and Mentor Graphics she specialized in hardware verification, UVM/SystemVerilog testbench architecture, and protocol/IP verification, delivering measurable productivity gains and published technical papers. Now at Apple, she brings together deep verification domain expertise and practical ML deployment experience to solve complex verification and tooling problems at scale. An MS in Computer Engineering from Texas A&M complements her hands-on background, and she has a track record of turning experimental ML models into production command-line and cluster-deployed tools.
8 years of coding experience
6 years of employment as a software developer
Ryan Internation School, Noida
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Texas A&M University
Bachelor of Technology (BTech), Electronics and Communication Engineering, Bachelor of Technology (BTech), Electronics and Communication Engineering at Jaypee Institute of Information Technology
English, Hindi, Tamil