Pawan Negi
Co Managing Partner at NavyGate Technologies
Kashipur, Uttarakhand, India
Summary
👤
Senior🎓
Top SchoolPawan Negi is a computational scientist and software leader with eight years of experience bridging research and product delivery in fluid dynamics and computational engineering. He holds a PhD from IIT Bombay focused on second-order convergent Smoothed Particle Hydrodynamics and has extended that expertise through postdoctoral and research roles at Illinois Tech, where he also taught calculus. As Co-Managing Partner at NavyGate Technologies he oversees strategic planning and project delivery while maintaining active open-source contributions—notably backend work on the pysph SPH framework adding inlet/outlet treatments, pressure models, and visualization utilities. His background includes three years in defense R&D and commercial CAE software, giving him practical experience in production engineering as well as numerical method development. Colleagues describe him as someone who turns rigorous theory into usable simulation tools, often spotting practical numerical improvements that others miss.
8 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Bombay12th, Science, 83.6%, 12th, Science, 83.6% at Kendriya Vidyalaya Kashipur,(U.S.N) UttarakhandBachelor of Technology (BTech), Mechanical Engineering, 8.49, Bachelor of Technology (BTech), Mechanical Engineering, 8.49 at National Institute of Technology, Silchar
English, Hindi
Github Skills (10)
fluid-simulation10
smoothed-particle-hydrodynamics10
python10
scientific-computing10
cython9
interpolation9
application-framework9
app-framework9
web-framework9
opencl8
Programming languages (2)
Github contributions (5)
pypr/pysph
Mar 2019 - Jan 2021
A framework for Smoothed Particle Hydrodynamics in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 43 commits, 22 PRs in 1 year 10 months
Contributions summary:Pawan's commits primarily involve modifications to the `pysph` framework, specifically focusing on Smoothed Particle Hydrodynamics (SPH) simulations. They implemented features related to wall velocity, pressure calculations, and gradient interpolation within the framework. The user added new equations for inlet and outlet conditions. Additionally, they contributed to utility tools like the mayavi viewer and the interpolator.
python-libraryparticlepythonsolid-mechanicshigh-performance-computing
pawansnegi/automan
May 2019 - Jul 2024
A simple automation framework in Python
Contributions:15 pushes, 3 branches in 5 years 2 months
automation-frameworkpythonautomationframework
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