Esmaeil Seraj

About Esmaeil Seraj

Currently, I am a Robotics AI Tech Lead at General Motors, where I am helping build the next generation of robot learning systems for dexterous and compliant manipulation in manufacturing. My work focuses on developing a modern robotics AI stack that integrates perception, reasoning, and control—leveraging advances in multimodal learning, including vision-language models (VLMs) and vision-language-action (VLA) policies—to enable intelligent automation in complex industrial environments.I build and ship CV/ML systems that enable dexterous, compliant, contact-rich manipulation in dense, cluttered environments. At Amazon Robotics (the Vulcan program), my work spanned robust and multimodal perception, fusion, 3D reconstruction, affordance generation, planning and optimization for contact-rich manipulation, and learned policies (RL, LfD) from production data tightly integrated with optimization, planning, and reactive control.Previously at Ford, I worked on advancing vehicle perception and human–vehicle interaction. My PhD focused on embodied team intelligence for multi-robot systems—data-driven and model-based methods for communication, coordination, and collaboration.Across my work, I’m motivated by rigorous research and engineering that translates state-of-the-art machine learning into reliable robotics systems deployed at scale in the physical world.

Experience

1. Applied Scientist

   Amazon

   Jun 2024 — Present · Seattle, WA, US

   Robotics, ML/AI, & CV: Working at the intersection of optimization, planning, 3D reconstruction, computer vision & ML problems for dexterous & compliant robotic manipulation in dense, cluttered, & contact-rich environments.

Education

• Georgia Institute of Technology

  Master's degree, Electrical Engineering and Control

  2019 — 2021

• Georgia Institute of Technology

  Doctor of Philosophy - PhD, Electrical and Computer Engineering

  2018 — 2023

• Tabriz University of Technology (Sahand)

  Bachelor’s Degree, Electrical and Electronics Engineering

  2008 — 2012

• Shiraz University

  Master’s Degree, Bioengineering and Biomedical Engineering

  2013 — 2016

Skills

• Matlab
• Signal Processing
• Biomedical Engineering
• C++
• Image Processing
• Digital Signal Processing
• Pattern Recognition
• Pspice
• Classification
• Digital Filters
• Biomedical Signal Processing
• Eeg
• Eeg Processing
• Documentation
• Technical Documentation