Engineer and researcher working at the intersection of open-source EDA, optimization, and engineering education. I contribute to eSim (FOSSEE, IIT Bombay), and explore solver integration for Minotaur and Uno, with interests spanning MILP modeling, QP engines, and reproducible tooling.
I enjoy building reliable open-source systems and teaching by example. At FOSSEE, IIT Bombay, I have contributed to eSim (an open-source EDA suite) across simulation, PCB, and training stacks. My research explores integrating and benchmarking QP solvers and nonlinear optimization engines in Minotaur, along with bridging to Uno for derivative evaluations and Hessian structures.
Open-source EDA (eSim), Large-scale training, Community engagement
Minotaur–Uno integration, QP Engines, Branch-and-Bound
Community engagement
On-device assistant integrated with eSim for debugging and design tasks; privacy-preserving workflows for labs and classrooms.
Tools: eSim, LLMs, Python
Interface for objective/gradient/Hessian evaluation; experiments with filtersqp presets and root-node behavior.
C++, Minotaur, Uno
Warehouse placement & transportation cost minimization with reproducible datasets and dashboards.
Python, PuLP/Pyomo, CSV/Excel
Reproducible packaging for cross-distro deployment; mitigates dependency conflicts in teaching labs.
Snap, Docker
Overview of eSim’s pedagogical design, tool integration, and community impact in large-scale training.
C/C++, Python, Verilog; eSim, Minotaur, Uno; MILP/QP modeling; Git, Linux; Packaging (Snap, Docker); Teaching & community engagement.