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 (65)
fastapi10
toolbox10
visualizations10
tensorflowjs10
runnable10
computer-vision10
chakra-ui10
reinforcement-learning10
unsupervised-learning10
pytorch10
react10
robotics9
firebase-admin9
deep-learning9
stable-baselines9
Programming languages (7)
Github contributions (5)
Akhilez/Syllabus
Jul 2017 - Jun 2020
Contributions:12 commits, 9 pushes, 1 branch in 2 years 11 months
Akhilez/StudentFeedback
Jan 2017 - Oct 2017
A web application for educational institutions that conducts and analyses feedback given by students on faculty, and learning outcomes. Developed in Python 3.4 using Django web framework
Contributions:151 commits, 1 PR, 124 pushes in 9 months
djangopythonweb-framework
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.