Devansh Agarwal
Senior Machine Learning Engineer at AWS • Ex-Founder • Cornell Ignite Fellow • AI Researcher
Current Role: Senior ML Engineer, AWS
Education: Master's CS, Cornell University • Bachelor's CSE, IIT Hyderabad (Dept. Rank 1)
Location: United States
About
Devansh Agarwal currently works as a Senior Machine Learning Engineer at AWS, where he develops cutting-edge AI solutions for enterprise modernization. His journey in technology spans from building India’s first VR product for the architecture industry to leading machine learning initiatives at Amazon.
In 2023, Devansh was selected as one of six Ignite Fellows by Cornell University, receiving a $240,000 award to transform his research into a commercial venture. This prestigious fellowship recognized his innovative work in AI and human-computer interaction.
Devansh holds a Master’s degree in Computer Science from Cornell University and a Bachelor’s degree in Computer Science & Engineering from IIT Hyderabad, where he graduated ranked first in his department. His academic excellence is matched by his research contributions, having published multiple papers in top AI and HCI conferences and receiving the National Science Foundation I-Corps award.
As an active member of the research community, Devansh serves as a reviewer for prestigious conferences including WACV, CHI, IEEE Sensors, IMWUT, and UIST, earning multiple “outstanding reviewer” awards. His work has been featured in major media outlets including Forbes, Hackster.io, and TechRadar.
Current Work
As a Senior Machine Learning Engineer at AWS, I’m working on AWS Transform, the first agentic AI service for transforming .NET, mainframe, and VMware workloads. This groundbreaking service accelerates enterprise modernization by up to 4x using specialized AI agents trained on 19 years of AWS migration experience.
My work enables:
- 4x faster .NET application porting from Windows to Linux
- 80x faster conversion of VMware network configurations to AWS
- Up to 40% reduction in operating costs by removing Windows license dependencies
- Parallel processing of hundreds of applications simultaneously
Research & Recognition
My research spans Machine Learning, Natural Language Processing, Computer Vision, and Human-Computer Interaction. I have published multiple research papers in top-tier conferences and have been recognized as an Outstanding Reviewer for prestigious venues including IMWUT, and UIST.
Achievements:
- Cornell Ignite Fellowship (2023): $240,000 award for research-to-venture transformation
- National Science Foundation I-Corps Award (2023): Innovation and entrepreneurship program
- Media Coverage: Featured in Forbes, Hackster.io, and TechRadar for AI innovations
Contact
I’m always interested in discussing new opportunities, research collaborations, and innovative projects in AI and machine learning. Feel free to reach out through any of the social media links below or via email.