Abhijit Ramesh

About Abhijit Ramesh

AI Engineer who does medical AI for the most part of the day. Scale is the name of the game for me, I spent a lot of time engineering infrastructures with AWS and GCP to not only put these data-hungry models into production but also ensure they are regularly trained and updated with more data automatically. While it might seem that AI Engineering might mostly always be about reading papers and trying out different hyperparameters and algorithms, I spent most of my time developing data pipelines and creating web apps for visualising data performance and even doing a lot of DevOps to put all these things together. While Medical AI is my main line of work, I am a generalist. At the Ben-Gurion University of the Negev, I am involved with research in deep fake audio detection. For my work at Zoho, I had to go deep into the math and work with neuro symbolic ai to integrate domain knowledge into deep learning models. As part of Google Summer of Code, I worked with Mifos Initiative as a mentor, helping students develop and deploy secure credit risk assessment systems using federated learning. I also do a lot of product management, previously I was a product manager at Spoon. Now I do project management for multiple medical ai projects of TexNano and volunteer for amFOSS.

Experience

1. Machine Learning Research Engineer

   Theta Tech Ai

   Aug 2021 — Present · NY, US

   At Theta Tech, we develop medical AI software for clinicians, researchers, academics, and small businesses. As a machine learning engineer, I work on all parts of the lifecycle of this software. The client projects that I am involved with are:QuantaFlo, Semler Scientific- Developed the current deep learning model for diagnosis of Peripheral Arterial Disease- Build a highly scalable Extract Transform Load pipeline with AWS- Build an auto-labelling tool for doctors to label good and bad quality data.LungRadCad - Center of Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University - Worked on an uploader where doctors and clinicians can upload their research data with the LungRadCad OHIF viewer- Research and Develop a content-based image retrieval system using Siamese Networks- I have implemented a user management panel to add doctors, researchers, and clinicians to the LungRadCad system.Patch Sorter - Andrew JanowczykA tool for rapidly labelling objects using deep learning feature embedding- I help Andrew fix bugs and implement new features for the patch sorter open source tool.

Education

• Amrita Vishwa Vidyapeetham

  Bachelor of Technology - BTech, Computer Science and Engineering

• University of California, Santa Cruz

  Master of Science - MS, Computer Science