Arpan Chakraborty
Co-founder & CTO at Auvoya LLC
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolArpan Chakraborty is a seasoned technology leader and co-founder/CTO based in the San Francisco Bay Area with 26 years of experience building AI-driven mobile and web systems. He combines a PhD-level research background in computer vision, robotics and intelligent systems with hands-on engineering leadership—driving fleet intelligence, autonomous vehicle scenario extraction, and scalable data pipelines for 100k+ vehicle fleets. At Ridecell he led Nemo, a patented scenario-extraction engine used to accelerate Level 3–4 ADAS/AV validation, and more recently integrated LLM agents for natural-language analytics and automation across mobility operations. He also helped shape ML education at Udacity and contributed practical ML projects to their curriculum, highlighting a rare mix of product-focused research, teaching, and open-source contribution. Known for bridging noisy operational data to business impact, he thrives on turning complex sensor and behavioral signals into actionable, production-grade systems.
26 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at North Carolina State UniversityBachelor of Technology (BTech) Computer Science and Engineering, Bachelor of Technology (BTech) Computer Science and Engineering at West Bengal University of Technology, KolkataVishwa Bharati Public School, NoidaSt. Xavier's School, Haldia
Stackoverflow
1reputation
0reached
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Github Skills (8)
scikit10
decision-tree10
machine-learning10
python10
scikit-learn10
data-analysis9
machine-learning-models9
pandas9
Programming languages (3)
Github contributions (5)
udacity/machine-learning
Jan 2016 - Jul 2016
Content for Udacity's Machine Learning curriculum
Role in this project:
ML Engineer
ML EngineerContributions:25 commits, 12 PRs, 18 pushes in 5 months
Contributions summary:Arpan contributed significantly to the machine learning curriculum by adding project code related to smartcab, student intervention, and Boston housing. The primary focus appears to be on implementing and adapting various machine learning models and related code within the existing Udacity curriculum structure, including the addition of features and the modification of existing code. Code changes suggest the integration of new model components and adjustments to existing functionalities.
curriculumudacitydata-sciencemachine-learningcurriculum-learning
napratin/nap
Nov 2013 - Jun 2015
Neurocognitive Action-Perception: A neuronal architecture for visual perception and embodied action.
Contributions:64 commits, 1 push in 1 year 7 months
pytorchdeep-learningvisual-perceptionperceptionneuronal
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