Tanmay Bhonsale
Research Volunteer at Inria
Birmingham, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolTanmay Bhonsale is a research-focused computational statistician and software engineer with nine years of experience applying signal processing and probabilistic methods to real-world acoustic problems. Currently a research volunteer at INRIA and an MSc student in Statistics at the University of Birmingham, he builds custom EM-based frameworks and cross-validation pipelines for robust echo-delay estimation under noise. His work combines hands-on Python implementations (including an open-source Prony method) with theoretical rigor—he has derived Cramér–Rao bounds and sped EM convergence by up to 4x in prior research. Comfortable moving between research and engineering, he has applied ROS and embedded IoT tooling during robotics internships and led student research projects and workshops. Colleagues describe him as someone who blends careful statistical thinking with pragmatic code, often pursuing “programming side-quests” that yield reusable tools.
9 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDelhi Public School, Navi MumbaiMaster of Science - MS, Statistics, Master of Science - MS, Statistics at University of Birmingham
Github Skills (31)
ultrasound8
audio8
digital-signal-processing8
mls8
acoustics8
scenarios7
signal-processing7
robotics7
psychometrics7
prototyping7
audio-effect7
camera6
ros6
pitch6
wave6
Programming languages (4)
Github contributions (5)
enceladus2000/ros_acoustics
Jul 2021 - Sep 2021
A ROS2 package for acoustics simulations.
Contributions:3 PRs, 37 pushes, 4 branches in 1 month
roboticsros2acousticssimulationsros
ERC-BPGC/ros_acoustics
Jul 2021 - Sep 2021
A ROS2 package for acoustics simulations.
Contributions:34 PRs, 17 pushes, 2 branches in 1 month
roboticsros2acousticssimulationsros
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