Baidyanath Kundu - Masters Student at IBM

Baidyanath Kundu

Masters Student at IBM

Zurich, Zurich, Switzerland

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Baidyanath Kundu is a systems-focused software engineer and ETH Zürich master's student with 10 years of hands-on experience building performant C++ and full-stack solutions for scientific and enterprise domains. He has driven interoperable tooling at CERN (modernizing cppyy) and contributed core automatic-differentiation features to the ROOT ecosystem and the clad project used widely in physics data analysis. His work spans backend systems, performance-aware compiler/LLVM toolchains, and front-end UX tweaks from FOSSASIA projects to production webapps, showing comfort across the stack. At IBM he is developing post-training quantization methods to make large models robust on analog in-memory accelerators, bridging ML research and hardware constraints. Notably, his open-source contributions include improving Boost.Geometry WKT handling and advancing autodiff for array and derivative scenarios—efforts that directly benefit large-scale scientific workflows. He combines research-level thinking with practical delivery, routinely turning compiler and math-heavy problems into tested, deployable features.

10 years of coding experience

4 years of employment as a software developer

Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Manipal Institute of Technology

Master's degree, Computer Science, Master's degree, Computer Science at ETH Zürich

Stackoverflow

Stats

17reputation

3kreached

0answers

4questions

Github Skills (38)

javascript10

c-language10

website-development10

geometry10

mathematics10

css10

machine-learning10

user-interface10

ui-design10

math10

differentiation10

interpreter10

graphical-user-interface10

rootkit10

automatic-differentiation10

Programming languages (15)

JavaC++CCMakeGoHTMLJupyter NotebookTypeScript

Github contributions (5)

vgvassilev/clad

Feb 2021 - Dec 2022

clad -- automatic differentiation for C/C++

Role in this project:

Back-end Developer

Contributions:87 reviews, 45 commits, 25 PRs in 1 year 9 months

Contributions summary:Baidyanath primarily contributed to the development of the clad library, focusing on automatic differentiation for C/C++. Their work involved refactoring and improving existing code related to derivative calculations and function handling, specifically modifying and extending built-in derivatives and creating methods for efficient derivative evaluation. They also added and modified tests to validate the changes, including adapting the test suite for array inputs and improved functionality for more complex scenarios involving custom derivatives and various data types. This suggests a focus on enhancing the core functionality and reliability of the autodiff engine.

cppclang-compilerautomatic-differentiationdifferentiationderivative-functions

fossasia/gci16.fossasia.org

Dec 2016 - Dec 2016

FOSSASIA Google Code-In Website 2016/17 http://gci16.fossasia.org

Role in this project:

Front-end Developer

Contributions:8 commits, 23 PRs, 41 comments in 18 days

Contributions summary:Baidyanath primarily contributed to the front-end development of the FOSSASIA Google Code-In website. Their work involved adding and modifying logos, specifically integrating MBDyn logos. They also updated the website's HTML and CSS, and implemented redirects. Furthermore, the user made minor updates to the javascript file.

google-code-injavascript

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial