Aneesh Pawar

About Aneesh Pawar

I am Research and Development Engineer at Los Alamos National Laboratory in the Robotics, Automation & Controls group. Our work focuses on finding areas of processes that can benefit from the implementation of any level of automation, robotics and controls. Lately I have been working creating custom solutions for automating experimental tasks, designing and building custom testing racks, and integrating robotic arms in place of repetitive tasks and motions.I graduated from Carnegie Mellon University with my Masters in Mechanical Engineering with a research focus in robotics and controls. My experience is in rapid prototyping, product development, computer vision and device and systems testing.I thrive on ambiguity and variety. Through that I have found myself in environments requiring agility and formulated solutions for a wide range of problem statements.I am excited to connect with you and continuing to learn and grow!

Experience

1. Research and Development Engineer

   Los Alamos National Laboratory

   Aug 2023 — Present

   Collaborated on the design and integration of a multi-robotic arm material handling system, optimizing coordinated workflows to enhance operation efficiency, resulting in a 200% increase in throughput- Led development of AI/ML-enabled autonomy pipelines for robotic systems within a digital twin environment,supporting end-to-end perception, planning, and control workflows for real-world deployment- Built high-fidelity simulation environments (Isaac Sim) to enable software-in-the-loop (SIL) testing and validation of autonomous behaviors, improving planning accuracy by 25%- Developed data acquisition and analysis pipelines for multi-sensor systems, enabling rigorous model validation and performance evaluation of autonomous systems, increasing measurement accuracy and throughput by 20%- Architected a modular, event-driven control framework integrating heterogeneous sensors, actuators, and embedded systems, supporting real-time operation across multiple robotic test platforms- Executed end-to-end system integration, verification, and debugging across software, middleware, and hardware layers to ensure robust and reliable autonomous system performance- Collaborated with cross-functional teams (mechanical, electrical, and software) to integrate autonomy capabilities into complex electro-mechanical systems under real-world constraints- Authored technical reports and system documentation supporting design decisions, experimental validation, and stakeholder review and peer-reviewed 70+ applied research proposals (25+ as lead reviewer) contributing to $3M+.

Education

• Carnegie Mellon University

  Master of Science - MS, Mechanical Engineering

• Budapest University of Technology and Economics

  Exchange/Study Abroad Program, Mechanical Engineering

  2019 — 2019

• Colorado School of Mines

  Bachelor of Engineering - BE, Mechanical Engineering

  2017 — 2021