Dhruv Apte
Postdoctoral Fellow at Oden Institute for Computational Engineering and Sciences
Austin, Texas, United States
Summary
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Rockstar🎓
Top SchoolDhruv Apte is a postdoctoral researcher at UT Austin who blends machine learning, high-performance computing, and fluid mechanics to build ML-based surrogate models and a differentiable climate solver for improved sea-ice and climate prediction. With a PhD in Aerospace Engineering from Virginia Tech, he brings nine years of experience developing CFD simulations for multiphase and cavitating flows (OpenFOAM, URANS/LES) and integrating data-driven techniques such as genetic algorithms to enrich turbulence modeling. He codes fluently in C++, Python and MATLAB, runs experiments on HPC and cloud platforms (GCP/NSF CloudBank), and contributes broadly to open-source projects—from algorithm libraries in OpenGenus to linguistic tooling in CLTK. Comfortable leading international collaborations and teaching, Dhruv seeks research or faculty-track roles at the intersection of scientific ML and multiphase CFD where he can scale physics-aware ML approaches and embed neural correctors directly into numerical solvers. An understated strength is his track record of porting domain expertise into production-ready workflows and multilingual open-source contributions that reflect both breadth and depth.
9 years of coding experience
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Virginia TechBachelor of Engineering (B.E.), Mechanical Engineering, First Class with Distinction Honors, Bachelor of Engineering (B.E.), Mechanical Engineering, First Class with Distinction Honors at G H Patel College of Engineering & Technology
English, Hindi, Marathi, Gujarati, French
Github Skills (22)
algorithm10
algorithms10
python10
math10
data-structure10
java10
maths10
string-algorithms10
javas10
text-processing10
data-structures10
nlp10
c119
c179
documentation8
Programming languages (14)
Github contributions (5)
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:14 commits, 17 PRs, 4 comments in 23 days
Contributions summary:Dhruv contributed a variety of algorithms and data structures implementations in multiple programming languages, including Java, Python, C, and C++. They added a breadth of algorithms such as exponential search, Kruskal's MST, Boyer-Moore string search, and Manacher's algorithm. Further contributions include creating a modular inverse function in Ruby and implementing Bresenham's line algorithm in C++, demonstrating strong proficiency across a wide range of computer science concepts.
datastructuresinternshipcontributordatasetopengenus
cltk/cltk
Jan 2018 - Feb 2018
The Classical Language Toolkit
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 9 PRs, 49 comments in 1 month
Contributions summary:Dhruv focused on expanding the Classical Language Toolkit (CLTK) to include Gujarati. Their contributions involved creating and updating alphabet files, implementing Gujarati corpora, and integrating Gujarati into the documentation and importer files. They added and updated the Swadesh list for Old English and also implemented the Swadesh list for Old French and Syriac. They primarily worked with text data and language-related functionalities.
nlplingpythonlatinnltk
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