Akhil Devarashetti
Machine Learning Engineer III - R&D at ACV Auctions
United States
Summary
👤
Senior🎓
Top SchoolAkhil Devarashetti is a Machine Learning Engineer III with nine years of experience building and deploying deep learning solutions across computer vision, NLP, and production systems. Currently leading R&D for automated car inspections at ACV Auctions, he combines hands-on model development with practical deployment skills, including on-device CoreML quantized models for iPhone. His background spans ownership of NLP pipelines (resume-job matching with RoBERTa), experiment tracking and tuning with Optuna/Wandb/Neptune, and cost-conscious cloud deployments using Kubernetes and AWS Spot instances. Akhil is research-oriented—regularly reading and implementing academic papers—and brings that curiosity into production by refactoring codebases and reducing technical debt. He has experience training annotation teams and managing dataset versions/metadata, a detail that helps bridge ML research and reliable field performance. Based in the United States, he pairs a Master’s in AI with a track record of shipping end-to-end ML features from prototype to mobile and cloud production.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of CincinnatiBachelor of Technology, Computer Science and Engineering, 3.2/4, Bachelor of Technology, Computer Science and Engineering, 3.2/4 at Keshav Memorial Institute of Technology (JNTUH)
English, Telugu, Hindi
Github Skills (103)
toolbox10
tensorflowjs10
runnable10
computer-vision10
reinforcement-learning10
unsupervised-learning10
keras10
robotics9
chakra-ui9
hyperparameter-tuning9
fastapi9
python9
robustness9
visualizations9
deep-learning9
Programming languages (7)
Github contributions (5)
Akhilez/reward_lab
Apr 2021 - Feb 2023
Contributions:102 commits, 110 pushes, 1 branch in 1 year 9 months
Akhilez/ml_gallery
Apr 2020 - Apr 2021
This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.
Contributions:759 commits, 1 PR, 586 pushes in 1 year 1 month
tensorflowjspythonexplainedvisualizationstensorflow
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