Daksh Jotwani
Engineering, Motion Planning And Controls at Applied Intuition
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaksh Jotwani is an experienced software engineer with nine years building embedded, cloud, and autonomy systems across Tesla and Applied Intuition. He blends a rigorous Computer Science and Mathematics background from Purdue (3.94 GPA) with hands-on work in OS, Linux updaters, networking for energy products, and distributed vehicle-cloud services including WebRTC streaming and OTA updates. At Applied Intuition he now focuses on motion planning and controls for L2+ self-driving systems, bringing production-grade safety and real-time constraints to complex stacks. His tenure at Tesla spans from intern to senior engineer, giving him deep familiarity with scaling firmware and infrastructure for Megapacks, Powerwalls, and Superchargers. Based in San Francisco, he pairs systems-level thinking with applied math, often operating at the intersection of control theory and cloud-connected vehicle services. Colleagues rely on him to translate algorithmic ideas into robust, deployable software for safety-critical domains.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, GPA: 3.94/4.00, Bachelor of Science - BS, Mathematics and Computer Science, GPA: 3.94/4.00 at Purdue UniversityGreenwood High International School
Spanish, Hindi, English
Github Skills (22)
pytorch10
machine-learning10
linux10
datasets10
deep-learning10
torchvision10
computer-vision10
python-interface7
appointment6
nixos6
nix6
bots5
nixpkgs4
agent4
python4
Programming languages (3)
Github contributions (5)
dakshjotwani/GTAi
Mar 2019 - Jun 2019
Building a self driving car for GTA 5
Contributions:26 commits, 8 PRs, 26 pushes in 2 months
gta-5self-drivingmachine-learninggtadriving
dakshjotwani/resume
Aug 2018 - Dec 2019
Contributions:14 pushes, 1 branch in 1 year 3 months
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