Siddharth Maddali is a Senior Camera Systems Engineer and computational scientist with a PhD in physics and over nine years of experience applying simulation, ML, and signal-processing techniques across X-ray imaging, acoustics/ultrasound, and semiconductor inspection. He has led pioneering experimental demonstrations and computational developments at national labs (Argonne) and industry, including first-of-kind multi-reflection and multi-scale coherent diffraction imaging and ML-driven materials discovery. At KLA and Liminal he translated physics-first models into production-grade inspection tools, and now brings that blend of rigorous physical modeling and software engineering to camera systems at Tesla. Known for bridging theory and practice, he combines high-impact publications and grant leadership with mentorship and workshop organization, and actively builds open computational tools for X-ray and condensed-matter problems.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Madras
Bengaluru University
Kendriya Vidyalaya Sangathan
Doctor of Philosophy (Ph.D.) Engineering Physics/Applied Physics, Doctor of Philosophy (Ph.D.) Engineering Physics/Applied Physics at Carnegie Mellon University
English, Hindi, Marathi, Tamil, Telugu, Kannada, French
Implementation of the hierarchical smooth algorithm applicable to voxelated images of interface networks ( grain boundaries, soap foam, etc. )
Contributions:1 release, 88 commits, 2 PRs in 3 years 8 months
grain-boundariesmatlabpythonc-plus-plussmoothing
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