High-Performance Computing • Scientific Computing • AI/ML Systems
Current Focus Advanced studies in computational science |
Recent Impact 4.6× runtime optimizations, 200+ docs/min processing |
Data Scientist with experience building GenAI and AI/ML systems which are scalable & touchless.
Currently pursuing a MS-CSEM at UT Austin's Oden Institute, focusing on high-performance computing and scientific computing.
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turbulence-modelling-sph
Award-winning Master's thesis on turbulence modeling for SPH |
knndbscan
Python binding for k-NN DBSCAN clustering algorithm |
plasma-dynamics-visualization
XPDC output processing with Mayavi |
ADCS---Propagator
Propagator for closed-loop simulation framework |
llm_ocr_py
Intelligent document processing with OCR + LLMs |
Museum-Path-Optimization
Route optimization using metaheuristics |
battery-zen
Go daemon for real-time battery monitoring |
BreakTheWall
Windows wallpaper customization GUI for Admin-locked systems |
git-tutorial
Git learning resources and examples |
MS Computational Science, Engineering, and Mathematics 2025-2027* |
Dual Degree (B.Tech + M.Tech) Aerospace Engineering 2018-2023 |
2023 CFD Symposium (AeSI) |
(AB InBev) |
(University of Waterloo) |
PyTorch TensorFlow Scikit-Learn LangChain OCR NLP LLMs Vector DBs
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OpenMP OpenCL SLURM Cython Numba Async I/O HPC Clusters
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Python C/C++ Go Rust MATLAB SQL Bash
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