Devron is rethinking the way data science platforms read and share insights across datasets. Sensitive data is often siloed off in private networks, on-premise, and in entrenched environments, limiting data scientists in deriving actionable insights for business decisions. Multiple parties often duplicate or lose track of data being shared within and across organizations, often increasing data engineering and cloud costs.
Devron is enabling data scientists to build on top of decentralized data stores. We reduce the clutter and steps required for data engineers and scientists to conduct data science and we obviate the need to centralize and duplicate data. Companies no longer need to redact, anonymize or synthetically create data to perform advanced analytics - but instead keep data where it resides (including in their secure or regulatory-restricted environments) and bring the algorithms to the data. All of this is in service to providing business and research leaders more intelligence for better decisioning, the ability to deliver a better customer experience, and the insight to innovate.
Devron is on the path to build the next-generation data science and machine learning platform to enable decentralized analytics. We foresee a globally distributed data fabric that preserves the privacy of the source data, freeing it to drive innovation and insights and unleashing its untapped value. We seek to change the world one algorithm at a time!
More Data. Superior Insight.
“Devron’s technology has the potential to alter the data science and AI landscape!”
Founder and CEO
Kartik's a former Intelligence Officer with extensive experience in recruitment, team building, and product development. He's spearheaded efforts across covert financial intelligence, geospatial, and distributed computing leveraging deep fundamentals in software engineering and machine learning.
Chief Business Officer
David has had consistent success delivering company growth and customer value in technology and service organizations as Chief Business Development Officer, CMO, COO, and in other leadership roles for startup, private, and public companies. As a Management consultant, David has worked extensively in Financial Services and Fintech with firms such as Morgan Stanley, JPMC, Fidelity, Bank of America, and others.
Chief Financial Officer
Frank has served as CFO with both financial and operational responsibilities for close to 30 years. This includes a range of company sizes and technology segments, and having overseen multiple equity transactions. Frank started his career in public accounting for a top 4 global firm. His journey also includes entrepreneurial experience in a family-owned business. Frank serves on the Board and devotes time to several community organizations.
Head of Privacy
Sameer completed his postdoc at the UC Berkeley Rise Lab with research at the intersection of privacy technologies and machine learning. His research has been funded by organizations such as NSF, Microsoft, Qualcomm, and Facebook. Sameer earned his PhD from Princeton and an undergraduate degree in Physics from IIT-Madras.
Head of Talent Acquisition & Diversity
Roy is an experienced Senior Intelligence Officer with a focus on technology operations, information security, and extensive on-ground and remote crisis management, including hostile and combat areas. One of the few certified CIA development officers, her joy is coaching STEM officers.
Director, Product Marketing
Leslie is a seasoned B2B marketing leader with expertise in defining and executing go-to-market strategies for hi-tech products. She has over 10 years of experience leading marketing functions for startups across technical sectors, including cybersecurity, IoT, and material science.
Director of Software Engineering
Gabe is a software engineer with a background in scalable distributed transaction processing systems. He previously worked at GoDaddy on their e-commerce platform and PPLSI as a principal engineer and director helping with framework and platform development. Gabe has led multiple teams in his career; his passion is assisting engineers in recognizing their full potential by championing their development and professional growth. Gabe holds a master's and BS from Carnegie Mellon in Electrical and Computer Engineering.
Manager of Customer Success
Farukh brings in customer relation expertise with years of experience in customer success, project management, healthcare and data analytics.
Employee Experience & Business Ops Manager
Pattie possesses a strong commitment to team environment dynamics as an Employee Experience and Operations Manager. She has over 10 years of experience in operations and people management.
Principal, ML Engineering
Sid holds 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.
Senior Product Manager
Erin has more than 20 years of experience working on B2B product teams at both startups and enterprise organizations. She is currently a product designer with experience in all facets of the design lifecycle.
Engineering Manager, Government
Pete holds 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.
Backend Software Engineer II
Nana is a software engineer with degrees in Computer Science and Discrete Mathematics and Logic from Carnegie Mellon University. He has previous experience in backend design and product processes at GoDaddy and Karat.
Machine Learning Engineer
Shashank has his Master of Electrical and Computer Engineering from Cornell University with previous experience in AI and data science.
Backend Software Engineer
Ethan obtained a Bachelor in Computer Science with a focus in Human Computer Interaction at Stony Brook University. Ethan developed a passion for machine learning through his research and studies. Prior to joining Devron, Ethan was a Chatbot Developer at Citibank and has worked across fields such as infrastructure engineering, data science, and software engineering.
Machine Learning Engineer
Shreshta holds a Master’s degree from Carnegie Mellon University with a specialization in Machine Learning, having experience in building ML models for Medical Image Analysis.
Backend Software Engineer
Nikhil obtained a Master's degree in Operations Research and Information Engineering from Cornell Tech. He is passionate about building machine learning systems and working with data science technologies.
Staff Machine Learning Engineer
Ernest is a financial economist-turned-ML engineer with extensive experience in big tech, consulting, and finance. Ernest holds a Ph.D. in applied math from NYU.
Machine Learning Engineer II
Sarthak completed his Master's in CS at NYU with a focus on Machine Learning, Data Science, and AI Algorithms. He is a former Senior Software Engineer at Soroco where he worked on designing novel algorithms for unique automation use cases, building automation systems for large businesses, and backend development for the company's software automation platform.