Aabir Kar
Machine Learning Engineer at Samsara
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolAabir Kar is a Machine Learning Engineer with nine years of experience building end-to-end AI products, currently applying multimodal and edge ML at Samsara to improve safety and efficiency across millions of logistics operations. He’s a full-stack ML generalist who has taken products from 0 to 1 and prototypes from 1 to 100, with hands-on expertise spanning data engineering, applied ML, systems design, and MLOps. Previously he led personalization and recommendation efforts at Multimedia and experimented with a knowledge-graph fact-checker startup, reflecting both product curiosity and rigorous technical grounding. His background includes three years of academic research on topics from algorithmic trust to monsoon prediction and contributions to the well-known aima-python repo, where he improved documentation, LaTeX integration, and test coverage. Based in the Chicago area with a Master’s from the University of Chicago and a BITS Pilani undergraduate degree, he blends research depth with practical delivery—and in his spare time composes music and organizes cultural events near Lake Michigan.
9 years of coding experience
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree, Master's degree at University of Chicago
English, Hindi, Marathi
Github Skills (9)
jupyter-notebook10
python10
testing9
latex9
algorithms8
ai8
markdown7
machine-learning7
markdown-it7
Programming languages (5)
Github contributions (5)
aimacode/aima-python
Feb 2018 - Mar 2018
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits, 7 PRs, 28 comments in 15 days
Contributions summary:Aabir primarily focused on improving the existing documentation and adding new sections to enhance clarity and completeness. This included integrating LaTeX for mathematical notations within the `mdp.ipynb` notebook, addressing typographic errors, and fixing backslashes. Furthermore, the user contributed to the project by enhancing the test coverage of the `TableDrivenAgentProgram` by implementing and testing them.
pythonpython-implementationapproachartificialmachine-learning
bakerwho/weboftruth
Apr 2020 - Dec 2021
Contributions:313 commits, 163 pushes in 1 year 7 months
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