Summary
Akarsh Simha is a Principal Software Engineer with 18 years of cross-disciplinary experience blending machine learning compilers, large-scale data pipelines, model training, and ML deployment, currently building systems at GoodLeap in San Francisco. He spent over six years at Apple shipping customer-facing ML features and earlier developed rapid-prototyping compilers and frameworks that bridge research models to production. Akarsh holds a PhD in physics from UT Austin, where he built a high-bandwidth optical tweezers apparatus and published novel measurements of Brownian motion in Science, then developed asymptotic theory to explain the results. Beyond work, he is a long-time open-source maintainer and mentor in the KDE/KStars community—engineering features like a 100M-star loader and planetary conjunction tooling—and pursues personal projects that mix software, physics, and astronomy. Notably, his background uniquely pairs experimental precision measurement skills with practical ML systems engineering, enabling rigorous, data-driven solutions to complex production problems.
18 years of coding experience
13 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at The University of Texas at Austin
Kannada, Tamil, German, Sanskrit, English, Hindi