Sankeerth Garapati

Product Leader | AI & ML | Former Engineer

Product leader with 7+ years of experience in product management, data science, and ML engineering. I’ve led cross-functional teams at AI startups, building innovative products for major enterprises. I excel at tackling ambiguous problems, translating user needs into impactful solutions for both B2B and consumer-focused businesses.

Sankeerth Garapati

Work

Experience

  • Cybersyn

    Cybersyn

    Senior Product Manager

    Mar 2024 - Oct 2024

    Cybersyn is a data-as-a-service (DaaS) company dedicated to making the world's data transparent and accessible. We empower you to apply data-driven strategies to gain a competitive edge, just like the “Moneyball” approach revolutionized baseball.

    • First product hire, leading the development of Consumer Current, a market intelligence product estimating property-level consumer spending using anonymized card transactions.
  • Arena

    Arena

    Product Lead, Applied AI

    Sep 2022 - Mar 2024

    Arena delivers thoughtful, autonomous systems using artificial intelligence. Arena’s products have helped some of the world’s largest CPG companies, as well as small merchants and tech companies, transform intensive sales and supply chain processes into autonomous, self-learning systems — unlocking efficiencies and resulting in a better, more affordable consumer experience. But autonomous selling is just the beginning. Arena believes that, if safely and equitably delivered, real-world autonomy can positively transform humanity, from helping renewable energy providers reduce green premiums, to making physical infrastructure safer and more efficient. Arena is committed to bringing our technology where it can have the highest impact. Join us in the Arena.

    • Led teams of ML scientists, software engineers, and designers to develop AI-driven pricing and personalization products for global F500 CPG clients, leveraging transformer models and reinforcement learning. Managed product, tech, and commercial strategy, securing multi-million dollar contracts and expanding into new markets.
  • Stealth Startup

    Stealth Startup

    Machine Learning Consultant

    Jan 2022 - May 2022

    Seed Stage startup focusing on applied ML for compound optimization.

    • Prototyped and built various ML models to tackle compound optimization including graph neural networks
  • Digit

    Digit

    Product Manager | ML Engineer

    Aug 2021 - Aug 2022

    We’re on a mission to make financial health effortless for everyone. In 2015, we launched the first truly personalized and automated savings app that has helped members save over $7 billion towards their financial goals to date. Today, we fully automate the day-to-day work of managing all personal finances including banking, saving, budgeting, investing, and retirement. Digit gives members the power of an all-in-one financial app that helps them effortlessly manage their money based on their individual financial situation and goals, alongside financial best practices. Our goal is to help members stress less about their money day-to-day while helping them build a strong foundation for their future. This is especially important considering that financial health is the number one cause of stress in America. Seventy percent of Americans are financially unhealthy: one in five has zero retirement savings, the average college student graduates with $37K in student loans, and the national credit card debt has reached a record high of more than $1 trillion. Poor financial health can limit access to essentials like quality healthcare and education. As one of the first companies to successfully automate financial health, we face fascinating product challenges, like building decision-making AI and “human in the loop” machine learning. We’re building groundbreaking technology to make financial health approachable, simple, and automatic for our members. In doing so, our members can focus on other important parts of their lives, knowing that Digit has them covered. We’re united by our mission, powered by our culture of trust, and committed to doing the best work of our lives, together. To learn more, reach out to recruiting@digit.co or visit our careers page to browse open positions.

    • Developed automated budgeting, forecasting, and transaction insights systems for Digit's neobank product, while working closely with users to identify new features, prioritize the product roadmap, and drive feature adoption through impactful UI enhancements
    • Acquired by Oportun
  • Flatiron Health

    Flatiron Health

    Senior Machine Learning Engineer

    Mar 2019 - Aug 2021

    Flatiron health’s mission is to improve lives by learning from the experience of every cancer patient. please visit our website for our open positions.

    • Designed scalable transformer models to extract clinical data from electronic health records, enabling new research use cases for oncology-focused life sciences companies. Developed deep learning infrastructure, prototyping tools, and performance monitoring systems, delivering production-ready ML products that reduced manual data abstraction costs by millions of dollars.
  • JPMorgan Chase & Co.

    JPMorgan Chase & Co.

    Data Scientist

    Jul 2017 - Mar 2019

    For over 200 years, jpmorgan chase & co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. whether we are serving customers, helping small businesses, or putting our skills to work with partners, we strive to identify issues and propose solutions that will propel the future and strengthen both our clients and our communities. © 2017 jpmorgan chase & co. jpmorgan chase is an equal opportunity and affirmative action employer disability/veteran.

    • Tech lead for scheduling optimization software that used genetic algorithms to reduce infrastructure migration cost and risk. In addition, built anomaly detection systems and a Q&A application leveraging internal firm data.
  • HookLogic, Inc.

    HookLogic, Inc.

    Software Engineer

    May 2016 - Aug 2016

    • Worked on ads platform optimization
  • University of Michigan Medical School

    University of Michigan Medical School

    Machine Learning Scientist

    Jan 2015 - Dec 2016

    • Developed a computer vision-based computer-aided diagnostic tool that automatically stages bladder cancer from radiology images, achieving 92% accuracy.
  • Universal Health Aid

    Universal Health Aid

    Head of Research

    Jan 2014 - Dec 2016

    Universal Health Aid (UHA) is a 501(c)3 non-profit that promotes a grassroots, community-centered approach to health education and preventative medicine with the goal of mitigating the impact of social determinants of health. Since our founding in 2012, we have provided over $2.1 million in free preventive medical services to the uninsured and the under-insured. We currently operate in over 7 cities throughout the midwest.Our Vision: A community with equitable access to resources and the education to promote a healthy lifestyle. Our values include Accessibility, Community Collaboration, Education and Competency, Empowerment, & Leadership Development.

    • Utilized data to optimize targeting and delivery of preventative medical services to the uninsured and the under-insured.

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