About Us

Devron is on the path to build the next-generation machine learning platform to enable decentralized analytics. Our federated machine learning platform derives value from enterprise sensitive data silos — without ever needing to redact, anonymize, synthetically generate or centralize any of your data. The founding team came out of the intelligence community of the U.S Government — along with early-stage growth experience at a few of the top fin-tech and health-tech organizations. We're venture-backed by investors focused on execution, product innovation, and growth.

This Could Be You

Kartik Chopra

Founder and CEO
Kartik has almost a decade in National Security, Adversarial AI and machine intelligence. With a B.Sc. in Computer Science and Quantitative Economics, he has successfully built AI/ML products and teams in early stage AI/ML startups and government industries decreasing time to value for business operators. Kartik brings together a unique breed of operating in clandestine environments, intelligence gathering, and commercial product development to relentlessly deliver solutions for his customers. 

Alex Granados

Head of Federal Business Development
Alex is CEO and owner Prescient Edge Corporation (PEC), a government contracting firm providing global intelligence services, engineering solutions for air, land, sea, space, and digital domain customers. He has grown PEC from 300k to 45M in Revenue in 3 years. Notably, in 2020 PEC was recognized as a top 10 Veteran owned firm in R&D across the DoD by the National Science Foundation. Before PEC Mr. Granados was a Director at CACI International (NYSE: CACI) and helped grow his practice from 2 to over 500 employees in over 10 years. Alex is a graduate of the United States Air Force Academy and received his MBA in International Business and Finance from the George Washington University School of Business

Sidhartha Roy PhD

Head of Research

Sid has a PhD in Machine Learning from University of Iowa and experience in working for startups and DoD/DoE clients like the US Air Force and Los Alamos National Lab on predictive modeling, data privacy, and federated learning.

Douglas Rosa

Head of Talent
Doug is a highly versatile operator with 13 years of experience building high-performance teams, standing up new verticals and processes to drive growth. Leading venture-backed companies through early-stage growth and scaling.

Peter Osthus PhD

Senior Machine Learning Engineer

Pete has a PhD in Applied Linguistics. A former Air Force officer, he has more than 10 years of experience designing and building analytic products for the US government.

Chul Gwon PhD

Senior Machine Learning Engineer

Chul has a PhD in Experimental Particle Physics. He is a machine learning expert with over 18 years experience developing solutions for leading AI companies and the federal government.

Eddie de Leon

Senior Machine Learning Engineer
Eddie graduated from MIT's NLP lab with a Master's in AI. He has actively contributed to ML Lifecycle tools including MLflow, AzureML, and was a founding member of the Open Differential Privacy SmartNoise Project

Farukh Kohistani

Senior Operations Manager
Farukh brings in customer relation expertise with years of experience in customer success, project management, healthcare and data analytics.

Kai Wombacher

Technical Product Manager

Kai received his Masters in Data Science from Brown University and was a Data Scientist at a B2B Customer Intelligence Platform for several years before transitioning to Product Management for Machine Learning Products.

Claudia Crist

Operations Analyst
Claudia is an operations analyst with experience in corporate access and operations at financial institutions and startups.

Nanaki Singh

Backend Engineer
Nanaki is a software engineer with degrees in Computer Science and Discrete Mathematics and Logic from Carnegie Mellon University and experience in backend design and product processes at GoDaddy and Karat.

Hongsun Kim

Senior Machine Learning Engineer

Hongsun has worked in engineering and machine learning at various financial firms, including Tradeweb, Bank of America, and Citigroup. He has B.S. and M.Eng. degrees in Operations Research and Information Engineering.

Shashank Pathak

Machine Learning Engineer

Shashank has his Masters of Electrical and Computer Engineering from Cornell University with previous experience in AI and Data science.

Ken Stibler

Operations Analyst
Ken is pursuing his Master of Public Administration from George Washington University and brings experience in consulting, investment banking, and at the State Department

Marwah Roussi

Machine Learning Operations Engineer
Marwah is a machine learning operations engineer with a degree in Astronomy and Astrophysics from the University of Chicago with experience building machine learning applications in astrophysics at NASA, Fermilab, and CERN.