Swati Ramachandran
Machine Learning Engineer at Apple
Austin, Texas Metropolitan Area United States
Summary
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Senior🎓
Top SchoolSwati 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.
9 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Texas A&M UniversityBachelor of Technology (BTech) Electronics and Communication Engineering, Bachelor of Technology (BTech) Electronics and Communication Engineering at Jaypee Institute of Information TechnologyRyan International School, Noida
English, Hindi, TamilProgramming languages (1)
Github contributions (2)
ramachandran-swati/ml_uvm_cache
Sep 2017 - Sep 2017
Contributions:2 commits, 2 pushes, 1 branch in 1 day
CourseReps/ECEN689-Fall2018
Sep 2018 - Nov 2018
Contributions:19 commits in 2 months
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