Karthik Ramesh

Co-Founder | CEO | CTO

About

I’m a faculty member in Radiation Oncology at Emory University School of Medicine, where my research focuses on spectroscopic MRI (sMRI) and AI methods to improve treatment planning and response tracking for brain tumors. As Co-Founder, CEO, and CTO of Oratos AI, I lead development of an imaging platform that brings metabolic MRI into routine radiation therapy planning. Our technology has shown survival benefits in a multi-site clinical trial and we are now advancing it closer to clinical deployment and FDA approval. I’m passionate about bridging academic research and clinical translation to make advanced imaging more accessible, interpretable, and impactful for patients with brain cancer.

Country

United States

City

Atlanta

Industry

Computer Software

Skill

Spectroscopic MRI (sMRI), Radiation Oncology, Medical Imaging, Computer Vision, TensorFlow, Keras, Python (Programming Language), OpenGL, Python, Matlab, Web Development, SQL, Java, JavaScript, Flask, Stand-up Comedy, Amazon Web Services (AWS), Visual Basic, NoSQL, Web Architecture

Experience

Co-Founder | CEO | CTO

Oratos AI

2025-10 - Present · 1 yr

Atlanta, Georgia, United States

• Lead scientific and technical direction of Oratos AI, a medical-imaging software company commercializing high-resolution spectroscopic MRI (sMRI) for brain-tumor treatment planning. • Managing strategy for regulatory (FDA 510(k)) submission and NIH SBIR funding. • Winner, 2024 Emory Goizueta Entrepreneurship Clinic Pitch Competition.

Instructor (Research Faculty), Department of Radiation Oncology

Emory University School of Medicine

2024-8 - Present · 2 yrs 2 mos

Greater Atlanta Area

• Conduct research on advancing spectroscopic MRI (sMRI) for treatment planning and longitudinal tracking in glioblastoma. • Lead development of multi-site imaging pipelines supporting clinical trials across Emory and partner institutions. • Co-author of publications in Neuro-Oncology Advances and Cancers (2022–2025).

Data Scientist - Personalized Healthcare Imaging Group - Deep Learning

Genentech

2022-5 - 2022-10 · 6 mos

• Explored 3D and 2.5D approaches to predicting geographic atrophy (GA) lesion growth rate and area with optical coherence tomography (OCT) image volumes of the retina • Developed three keras models as well as image pre-processing pipelines to compare to 2D approaches for lesion growth rate prediction • Wrote a python-based OpenGL graphical package from scratch for manual contouring and annotating of lesion segmentations

Technical Consultant

Epic

2017-8 - 2018-5 · 10 mos

Verona, WI

• Designed workflows and diagnosed issues for research analysts at various hospitals. • Developed software enhancements and increased research functionality for facilities that use Epic’s health software

Software Consultant

Intertrust

2016-9 - 2016-12 · 4 mos

• Continuing to develop web application to test Genecloud’s data sharing platform • Analyzing tools to compress genomic data to decrease query time • Developing methods to execute queries on genomic data with Genecloud’s pipeline

Software Engineering Intern

Intertrust

2016-6 - 2016-8 · 3 mos

Sunnyvale, CA

• Developing a web application using Python/Flask to test Genecloud's data sharing platform. • Web app helps researchers analyze genomic data shared by individual donors while protecting donor privacy.

Breast Imaging Researcher

Seattle Cancer Care Alliance

2015-6 - 2015-7 · 2 mos

Greater Seattle Area

• Created tool to analyze background parenchymal enhancement (BPE) in breast. • Tool semi-automatically analyzes the entire volume of the breast and is used in research relating BPE to cancer risk.

Lab Intern for Grady Lab

Fred Hutch

2014-6 - 2014-7 · 2 mos

Seattle, WA

• Explored relationships between various signaling pathways related to tumor suppression and cell proliferation for colon cancer cells in different regions of the colon. • Created a database to enable lab to store digital records of cell lines kept in a liquid nitrogen tank.