Prajwal Prathiksh

Scientific computing and ML · MS CSEM at UT Austin

I'm a master's student in Computational Science, Engineering, and Mathematics at the Oden Institute, UT Austin. I work on scientific machine learning and GPU computing. With Prof. George Biros, I build physics-informed neural networks and the CUDA kernels that run them 150× faster than CPU baselines. At KLA, I train vision transformers to find and outline wafer defects in electron microscope images, without hand-labeled masks. Before UT, I spent two years at AB InBev as a data scientist, building LLM and OCR pipelines for payment reconciliation. I studied aerospace engineering at IIT Bombay, where my thesis on turbulence models for smoothed particle hydrodynamics won the Aeronautical Society of India's best master's thesis award.

• prajwal.prathiksh@my.utexas.eduCopy
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Experience

• Software Engineer Intern, Scientific AI & Computer Vision · KLA2026
• Graduate Researcher with Prof. George Biros · Oden Institute, UT Austin2025 – now
• Data Scientist, Global Finance Analytics · Anheuser-Busch InBev2023 – 2025
• Master's thesis on SPH turbulence models with Prof. Prabhu Ramachandran · IIT Bombay2022 – 2023

Education

• MS, Computational Science, Engineering, and Mathematics · Oden Institute, UT Austin2025 – 2027
• Dual Degree (BTech + MTech), Aerospace Engineering · IIT Bombay2018 – 2023

Publications

1. Autonomous star identification algorithm for tracking mode of star trackerK. Mishra, K. T. P. Prathiksh, et al.IAA-ISRO SMOPS 2023, Bangalore (extended abstract), 2023
2. Survey and analysis of payloads for missions on PSLV's orbital platformA. R. Ranade, A. Sikka, S. Bhansali, K. T. P. Prathiksh, et al.AIAA SciTech 2021 Forum, 2021
3. An approach to star tracker design for nano-satellite applicationsV. Katla, K. T. P. Prathiksh, et al.NCSSTA 2020, Thiruvananthapuram (extended abstract), 2020