Shakul Pathak
Sr. Cell Modeling Engineer at Tesla
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolShakul Pathak is a ChemE PhD candidate at MIT with nine years of research and engineering experience building physics-first and hybrid data-driven models for batteries across multiple chemistries (LFP, NMC, NCA, LMO, Graphite) to track health, performance, and safety. He combines rigorous mathematical modeling with pragmatic software practice—contributing backend fixes and tests to the widely used MDAnalysis library and accelerating scientific code with Cython/Numba in prior internships. His consulting work spans pharma-scale hybrid ML for bioreactor control and physics-based feasibility studies for industrial electrolyzer integration, showing an ability to translate models into go/no-go decisions. A committed educator and mentor, he has taught graduate transport phenomena and advised incoming PhD students while also founding dorm clubs and serving on student governance. Comfortable across Python, C++, and high-performance scientific tooling, he blends deep theory with production-minded implementations. Notably, he pairs battery modeling expertise with hands-on AI tinkering, positioning him to bridge inventive research and deployable engineering solutions.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at Massachusetts Institute of TechnologyJunior/Middle School, Junior/Middle School at St.Xavier's High School, KedargouriAISSCE High School/Secondary Diplomas and Certificates, AISSCE High School/Secondary Diplomas and Certificates at Delhi Public School, Ruby ParkBTech+MTech (Dual Degree) Chemical Engineering, BTech+MTech (Dual Degree) Chemical Engineering at Indian Institute of Technology, Kharagpur
English, Hindi, Odia, Bengali
Stackoverflow
101reputation
0reached
0answers
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Github Skills (10)
analyse10
molecular-dynamics-simulation10
pytest10
molecular-simulation10
python10
numpy10
dynamics10
computational-chemistry9
testing8
pdb7
Programming languages (3)
Github contributions (5)
MDAnalysis/mdanalysis
Mar 2020 - Apr 2020
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:20 commits, 9 PRs, 26 comments in 24 days
Contributions summary:Shakul primarily contributed to the MDAnalysis library by addressing bugs and enhancing functionality related to the `mdamath` module and the `contacts` analysis module. They also reverted some changes, indicating an iterative development process. Further contributions involved adding and revising tests, especially related to the `CRYST1` record parsing in PDB files, demonstrating a focus on ensuring data integrity.
mdanalysismolecular-dynamics-simulationpythonmolecular-dynamicsscience
Oscuro-Phoenix/math-for-fun
May 2020 - Jan 2023
Contributions:298 commits, 4 PRs, 355 pushes in 2 years 8 months
mathpythonmathematicsproblemsmathematical
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