Adit Sanghvi

CTO / Co-Founder

https://www.opentalent.in/adit-sanghvi

Key Strengths

Extensive experience in Machine Learning Engineering, particularly in deep learning and recommender systems at large tech companies (Uber, Amazon).
Proven track record of leading development and delivering significant business impact (tens of millions in incremental revenue at Uber).
Strong academic background with a Master's from Carnegie Mellon University and research experience in ML/NLP.
Entrepreneurial drive and co-founder experience with Decisional AI (YCS24), aligning with a CTO/Co-Founder target role.
Experience in building cancer-detection algorithms that outperformed pathologists, demonstrating strong analytical and problem-solving skills in a critical domain.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

Machine Learning Algorithms

Education

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

Experience

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

Key Strengths

Extensive experience in Machine Learning Engineering, particularly in deep learning and recommender systems at large tech companies (Uber, Amazon).
Proven track record of leading development and delivering significant business impact (tens of millions in incremental revenue at Uber).
Strong academic background with a Master's from Carnegie Mellon University and research experience in ML/NLP.
Entrepreneurial drive and co-founder experience with Decisional AI (YCS24), aligning with a CTO/Co-Founder target role.
Experience in building cancer-detection algorithms that outperformed pathologists, demonstrating strong analytical and problem-solving skills in a critical domain.

Cultural & Operational Fit

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.