Rangeesh Venkatesan is a Machine Learning Engineer at Amazon Frontier AI & Robotics, based in the San Francisco Bay Area, with over 6 years of experience. Previously he worked at Tesla Autopilot on Robotaxi initiatives. He's a core contributor of Actually Smart Summon. His background includes studies in Engineering, Robotics, Control Systems, and Computer Science from institutions like the Indian Institute of Technology Madras and Texas A&M University. He is currently looking for speaking opportunities and is interested in technical architecture, focusing his tinkerer roles on Robotics, ML Infra, and VLM - VLA projects.

Robotics, ML infrastructure, VLM (Vision-Language Models), VLA (Vision-Language-Action), technical architecture, autonomous systems, perception, planning and controls, active learning, computer vision, dataset generation, large-scale ML model training.

Robotics, ML Infra, VLM - VLA

I'm a ML Data Scientist with 5+ years of experience in semiconductor and healthcare.

Building and shipping AI products in Healthcare.

Multi AI Agent games and reinforcement learning.

Harish Panneer Selvam is a Data Science Researcher at the National Laboratory of the Rockies, based in Santa Clara, California. With five years of experience, his expertise lies in physics-guided machine learning, vehicle energy modeling, and fleet technoeconomic analysis. Harish is proficient in Python and Rust, leading development on open-source tools like T3CO and FleetREDI, and the ALTRIOS simulation suite, which utilize physics-guided ML and CAN-bus data analysis. He holds an MS in Mechanical Engineering from the University of Minnesota and a BTech from the Indian Institute of Technology Madras. He is interested in physics-based AI, ML for transportation, robotics, and software engineering.

Physics-based AI, machine learning for transportation, robotics, software engineering, physics-guided machine learning, vehicle energy modeling, fleet technoeconomic analysis, vehicle decarbonization, edge AI, low-latency inference, CAN-bus data analysis, technical architecture, developer marketing, product review

T3CO and FleetREDI are open-source tools for fleet technoeconomic analysis and vehicle decarbonization. ALTRIOS is a high-performance simulation suite built with Rust and Python for mobility systems. These projects utilize physics-guided machine learning, FASTSim, and CAN-bus data analysis for vehicle energy modeling and optimization. Tactical work includes deploying edge-AI for low-latency inference and developing end-to-end data-driven engineering software for energy systems.