Ashwin Nayar
Senior Software Engineer at Corridor Platforms
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAshwin Nayar is a Senior Software Engineer based in Bengaluru with six years of experience building full-stack systems and robotics-focused AI solutions. He has hands-on background in autonomous navigation, motion planning, and ROS driver development for GNSS hardware, and has improved real-time media and WebRTC infrastructure during an internship at Unacademy. At Corridor Platforms he progressed from Full Stack Developer to Senior Engineer, shipping production services and shaping platform-level features. An active open-source contributor, he extended dbg-macro for C++ to better pretty-print STL adapters and complex containers, reflecting attention to developer ergonomics and low-level correctness. Trained as a Naval Architecture and Ocean Engineering graduate from IIT Madras, he blends rigorous physical-systems thinking with software engineering to tackle perception-to-control problems. Colleagues describe him as curiosity-driven and pragmatic—comfortable moving between embedded robotics stacks and cloud-native backend code.
6 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Madras
Github Skills (7)
macros10
debugging10
c-language10
cprogramming-language10
stl9
st9
testing8
Programming languages (10)
Github contributions (5)
sharkdp/dbg-macro
Dec 2022 - Jan 2023
A dbg(…) macro for C++
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 15 commits, 4 PRs in 29 days
Contributions summary:Ashwin primarily contributed to the `dbg-macro` project by enhancing its functionality and improving its usability. Their work included adding support for STL container adapters, such as `stack` and `queue`, extending the pretty-printing capabilities. Additionally, the user refactored code, improved type name display, and added tests and demos to validate and demonstrate these new features. These changes demonstrate a focus on improving the macro's ability to handle complex C++ data structures and enhancing debugging output.
cppdbgdebuggingmacropretty-printing
winwinashwin/GA-aided-NMPC-tuning
Oct 2020 - Jan 2021
Nonlinear Model Predictive Control tuning using Genetic Algorithms, employed on a trajectory controller for differential drive robot
Contributions:65 commits, 2 PRs, 16 pushes in 3 months
genetic-algorithmnonlinear-model-predictive-controlmodel-predictive-controlcpp17ipopt
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