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AI Agent Automations | CTO & Co-Founder at Decisional AI (YC S24)
I’m currently focused on building AI agents that automate deep financial work—the kind that normally takes analysts days of parsing through CIMs, memos, QOEs, and financial reports. Previously, at Uber, I built personalisation systems for the Rider App’s most critical surfaces—powering billions of trips. At UPMC, I developed medical AI that now outperforms clinical pathologists, and earned a U.S. patent. Now, I’m bringing that level of rigour to financial workflows. 👉 If you work in PE, MFOs, or are drowning in financial docs—let’s talk.
Y Combinator
S24
August 1, 2024 – October 1, 2024
Carnegie Mellon University
Master’s Degree
January 1, 2015 – January 1, 2017
Vishwakarma Institute Of Technology
Bachelor’s Degree
January 1, 2011 – January 1, 2015
Decisional AI (YCS24)
CTO and Co-Founder
December 1, 2024 – Present
San Francisco, California, United States · On-site
Uber
Machine Learning Engineer
March 1, 2022 – August 1, 2024
San Francisco, California, United States · On-site
Amazon
Machine Learning Engineer
September 1, 2021 – March 1, 2022
San Francisco, California, United States
Carnegie Mellon University
Guest Lecturer
April 1, 2018 – April 1, 2018
Pittsburgh, Pennsylvania, United States
UPMC Enterprises
Lead Machine Learning Engineer
July 1, 2017 – September 1, 2021
Pittsburgh
Carnegie Mellon University
Machine Learning and NLP Research Assistant
August 1, 2016 – May 1, 2017
Pittsburgh
South Australian Department of Treasury and Finance (DTF)
Intern at Veterans, SA
October 1, 2015 – December 1, 2015
Adelaide, Australia
Cultural Fit Analysis
The candidate's career trajectory from research to lead ML engineer roles at UPMC, then to major tech companies like Amazon and Uber, and finally co-founding a startup (Decisional AI, YCS24) demonstrates adaptability, ambition, and a strong entrepreneurial spirit. This diverse experience, particularly the recent co-founder role, aligns well with the target role of CTO/Co-Founder. The breadth of experience across healthcare, e-commerce, ride-sharing, and now finance indicates a willingness to tackle varied challenges. However, the lack of specific project details beyond high-level descriptions makes it difficult to fully assess alignment with specific company culture or values.
Soft Skills & Operational Fit
The candidate's experience as a CTO/Co-Founder and leading ML development at major companies suggests strong leadership, problem-solving, and strategic thinking. The description of building AI for deep financial work indicates an ability to tackle complex, high-impact problems. The promotion history at UPMC Enterprises (twice in 3 years) highlights rapid growth and high performance. However, without psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.