Gagik Amirkhanyan
ML Engineer Tech Lead at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGagik Amirkhanyan is an ML Engineer and Tech Lead based in Seattle with six years of focused experience building large-scale distributed training systems, LLMs, and recommender systems for Cloud TPU & GPU at Google. He blends deep mathematical training (PhD in Mathematics from Georgia Tech) with practical ML engineering, having earlier driven time-series anomaly detection, root-cause analysis for distributed systems at Nutanix, and robotics CV/NLP/RL work at Amazon. Comfortable across ML frameworks, infrastructure, and production pipelines, he specializes in optimizing training at scale and translating complex research into reliable, deployable systems. Colleagues rely on him for both architecture-level decisions and hands-on algorithmic solutions, reflecting a career that spans low-level C++ development to cloud-native ML leadership. An under-the-radar strength is his foundation in rigorous mathematics, which he leverages to design robust, theoretically informed ML solutions.
6 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at Georgia Institute of TechnologyBS and MS Mathematics, BS and MS Mathematics at Yerevan State University
Armenian, Russian, English
Github Skills (32)
python10
data-science10
testing10
machine-learning10
large-language-models10
tpu10
hardware10
ml10
llm10
deep-learning10
tensorflow10
deep-neural-networks10
gpu10
google-cloud10
neural-network10
Programming languages (4)
Github contributions (5)
gagika/tensorflow
May 2020 - Oct 2022
An Open Source Machine Learning Framework for Everyone
Contributions:1 push, 6 branches in 2 years 6 months
pythondata-sciencedeep-learningmachine-learningframework-learning
GoogleCloudPlatform/ml-testing-accelerators
Mar 2020 - Jun 2022
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Contributions:6 reviews, 28 commits, 52 PRs in 2 years 2 months
pytorchtesting-frameworkgpudeep-learningtpu
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.