Sai Ganesan
Software Engineer, Machine Learning at Google
Berkeley, California, United States
Summary
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SeniorSai Ganesan is a software engineer specializing in machine learning with a decade of experience applying computational biology and predictive modeling to real-world scientific problems. Based in Berkeley and currently at Google, he brings a research-first approach from his postdoctoral work at UCSF where he used language models to predict enzymatic pathways and built validation pipelines for integrative models. His background includes molecular dynamics and free energy calculations at the National Cancer Institute and hands-on experimental instrumentation for protein aggregation studies, giving him rare cross-disciplinary fluency between wet lab biophysics and ML. Sai excels at turning complex biological questions into production-ready predictive systems and validation workflows. He is comfortable navigating both research and engineering environments, bridging model development, rigorous validation, and scalable deployment. Unexpectedly for an ML engineer, his early experience designing high-temperature optical cells informs a practical, instrument-aware perspective on model-driven experimental design.
9 years of coding experience
1 year of employment as a software developer
Github Skills (12)
pdb6
validation6
python4
mechanism3
recommendation-engine3
bioinformatics3
architecture2
machine-learning2
transcription2
audio2
genomics1
python-modules1
Programming languages (4)
Github contributions (5)
salilab/pathway_mapping
Feb 2018 - Dec 2019
Contributions:2 PRs, 39 pushes, 1 branch in 1 year 10 months
saijananiganesan/saijananiganesan.github.io
Jul 2016 - Oct 2017
Contributions:121 PRs, 180 pushes, 13 branches in 1 year 3 months
javascriptreactpersonal-page
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