Ashwin Rao

CEO

Palo Alto, California, United States27 yrs 5 mos experience

Key Highlights

  • Over 20 years of leadership in Finance and Retail.
  • Expert in AI and Reinforcement Learning applications.
  • Author of a book on Reinforcement Learning for Trading.
Stackforce AI infers this person is a leader in Fintech and AI-driven Retail solutions.

Contact

Skills

Other Skills

Product DevelopmentEntrepreneurshipStart-upsQuantitative InvestingTradingInterest Rate DerivativesRisk ManagementSupply Chain OptimizationInventory ControlDistribution LogisticsAlgorithmsGraph TheoryMachine LearningMarkov Decision ProcessesStochastic Calculus

About

Ashwin Rao has more than two decades of experience as a leader in the Finance and Retail industries, with a consistent focus on creating outsized business value through technological innovations. Specifically, he has led science and engineering teams building products for Trading, Risk-Management, Pricing, Forecasting, Supply-Chain, Personalized Customer Experience. He brings unique skills in translating challenging business problems into technical specifications, and solving them by blending traditional mathematical/algorithmic methods with modern machine learning methods. Ashwin is currently the Chief AI Officer at QXO, a company focused on building materials distribution. Ashwin is also an Adjunct Professor at Stanford University where he focuses his research and teaching on AI for Sequential Optimal Decisioning under Uncertainty, particularly Reinforcement Learning algorithms and particularly applied to financial trading and retail industry problems. He is the author of a book on Reinforcement Learning for Trading (https://www.amazon.com/Foundations-Reinforcement-Learning-Applications-Finance/dp/1032124121), and has developed extensive open-source code for models and algorithms on this topic.

Experience

27 yrs 5 mos
Total Experience
4 yrs 1 mo
Average Tenure
5 mos
Current Experience

O9 solutions, inc.

Executive Vice President, AI Strategy and R&D

Dec 2025Present · 5 mos · Palo Alto, CA · Hybrid

  • I am responsible for o9's AI Strategy and Architecture, and I lead o9's Research & Development efforts across our offices in Dallas, Amsterdam, Seoul and Bangalore. I am hiring talent with exceptional foundations in Mathematics and Computer Science, who also have a strong interest in applied A.I.

Qxo

Chief AI Officer

Jan 2024Jan 2025 · 1 yr · Greenwich, Connecticut, United States · Hybrid

  • QXO is the largest publicly traded distributor of roofing, waterproofing, and complementary building products in the United States. The company plans to become the tech-enabled leader in the $800 billion building products distribution industry and generate outsized value for shareholders. QXO is targeting $50 billion in annual revenues within the next decade through accretive acquisitions and organic growth. Visit www.qxo.com for more information.

Cx score

Founder and CTO

Jan 2022Jan 2024 · 2 yrs · Mountain View, California, United States

  • CX Score is a well-funded Enterprise AI startup. Our products optimize marketing campaigns for a variety of companies, big and small. This is enabled through our proprietary AI capabilities for creating improved impressions, clicks and conversions at low cost by deeply understanding customer behavior and characteristics.

Stanford university

Adjunct Professor, Applied Mathematics (ICME)

Jan 2018Present · 8 yrs 4 mos · Palo Alto, CA

  • ICME is Stanford’s interdisciplinary department for Applied Mathematics. My research focus is A.I. for Sequential Optimal Decisioning under Uncertainty, particularly Reinforcement Learning algorithms. One of my key responsibilities is to direct Stanford's Mathematical & Computational Finance (MCF) program. In the Winter quarter, I teach the course CME 241 (Foundations of Reinforcement Learning with Applications in Finance), where I blend together Mathematics/Theory, Algorithms/Programming, and Financial Trading. In other quarters, I engage in research and serve as a technical mentor and career advisor to many of our students. My book on RL is at: https://www.amazon.com/Foundations-Reinforcement-Learning-Applications-Finance/dp/1032124121. Over the past three years, I have also been a teaching faculty at our Institute of Human-Centered Artificial Intelligence (HAI), evangelizing AI to our Retail company affiliates from around the world.

Target

Vice President of Artificial Intelligence

Jan 2016Jan 2022 · 6 yrs · Sunnyvale, CA

  • Led the Data Science and AI team that developed products for Demand Forecasting, Supply-Chain, Merchandising, Pricing, Personalization, Recommendations, Search and Marketing.

Hired, inc.

Advisor

Jan 2015Jan 2018 · 3 yrs · San Francisco Bay Area

Zlemma (acquired by hired, inc.)

Founder and C.E.O.

Jan 2012Jan 2015 · 3 yrs · Mountain View, CA

  • ZLemma built software products that enabled recruiters and hiring managers to find the precise talent they want to hire in an efficient manner. ZLemma's products were grounded in powerful, pioneering algorithms my team (25 engineers) and I developed for jobs-talent matching and for resumes/jobs parsing. Raised $3.5M series A financing Summer 2013 and got acquired Fall 2015.
  • Although I wore several hats (Product Management, Math Modeling, Coding, Marketing, Sales, Fundraising), I centered myself in the design and development of ZLemma's product offering. My key learning from ZLemma was that customer conversations are as vital to the development of one's product as the engineering/design that creates the product.

Morgan stanley

Managing Director

Jan 2008Jan 2012 · 4 yrs · New York, London & Mumbai

  • Quant Trading Strategies, Pricing, Risk Management, Derivatives Modeling, Econometric Modeling for a variety of rates, mortgages and credit trading businesses on the New York and London trading desks.
  • Moved to Mumbai for family reasons, founded and grew the Mumbai Modeling/Quant team, and co-headed the already-established organization of 1000+ technologists in the Mumbai office. This experience led me to tech entrepreneurship, although it was very difficult leaving Morgan Stanley - a company full of wonderful people.

Goldman sachs

Vice President

Jan 1998Jan 2008 · 10 yrs · New York, NY

  • Mortgage Pass-Throughs, Interest Rate Derivatives, Rates Flow Products, Mortgage Rate Derivatives (CMM), Mortgage Credit Derivatives (Subprime CDS, CDO^n) - Trading Strategies, Pricing, Risk Management.
  • My favorite memories involve the creation of new mortgage derivatives trading businesses - I learnt a hell of a lot from a diverse range of highly talented colleagues (erstwhile 85 Broad, 26th Floor trading desk nostalgia!)

Education

Indian Institute of Technology, Bombay

B.Tech — Computer Science

Jan 1989Jan 1993

University of Southern California

Ph.D. — Theoretical Computer Science - Algorithmic Algebra

Jan 1993Jan 1998

Atomic Energy Central School, Bombay

High School — Computer Science

Jan 1976Jan 1989

Stackforce found 100+ more professionals with Product Development & Entrepreneurship

Explore similar profiles based on matching skills and experience