Summary
Amir Sotoodeh is a Senior Software Engineer with eight years of experience building scalable ML and full-stack systems across industries, currently at NVIDIA and pursuing a Master’s in Data Science at UC Berkeley. He has delivered production ML solutions at Prime Video/Amazon and led edge-focused model quantization and deployment for mobile devices, as well as architected real-time Kafka/NiFi ingestion pipelines and TensorFlow microservices for Southern California Edison. Comfortable from low-level C++/ROS robotics work to cloud-scale Python and Java services, Amir blends a math-driven curiosity with hands-on engineering to reduce false positives, automate compliance, and optimize inference at scale. He also runs IT leadership at a growing consumer brand and has an appetite for research-driven AI projects that translate into practical, auditable systems. Notably, his background includes deploying MERN/Docker applications, multithreaded tooling for telecom automation, and end-to-end ML pipelines that bridge research and production.
8 years of coding experience
7 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of California, Berkeley
Cal Poly Pomona