United States
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Master of Business Administration - MBA
Bachelor’s Degree
2023
2023
Working on something new.
2021
2021
Investor and/or Advisor to multiple startups and funds, including UnityAI, Jetty Labs, SILSYNC, Strongest AI, and Ensemble VC.
2021 - 2023
2021 - 2023
Integrated DataFleets and scaled to >$10mm ARR. Responsible for LiveRamp's product strategy across its portfolio of products.
2018 - 2021
2018 - 2021
- acquired by LiveRamp (NYSE:RAMP) for >$100mm - productized emerging technologies including federated learning, differential privacy, secure multiparty computation, and multi-cloud infrastructure. - launched in production with 12 leading healthcare institutions - Incubated by Goldman Sachs, Bank of America, Capital One, Deutsche Bank, Societe Generale - Built a global team (spanning 4 countries) with several distinguished engineers and an experienced leadership team
2019 - 2019
2019 - 2019
2018 - 2019
Dropped out to run DataFleets full-time.
2018 - 2018
2018 - 2018
Consulted with and/or invested in four startup companies part-time while traveling in Europe and performing discovery for what became DataFleets. Two of the startups I invested in & consulted for were acquired for >$100mm
2014 - 2018
2017 - 2018
- Led a cross-functional, global team of data scientists and engineers - Scoped, designed, and implemented deep learning based solutions for Fortune 500 customers. - Heavily involved in the sales cycle to close large deals. - Industries spanned defense, financial services, and healthcare
2016 - 2018
Responsible for leading and contributing to strategic business initiatives as a member of Digital Reasoning’s Leadership Team- a cross-functional team of leaders tasked with accelerating the sales cycle, improving customer experiences, and coordinating R&D initiatives with customer requirements.
2016 - 2017
Broad remit that included: - Executed five proof of concepts and pilots with our first two healthcare customers, UHC and HCA Healthcare, as the sole developer and data scientist, securing 7-figure deals with each as anchor customers. - Production implementation of neural network based clinical NLP system for identifying incidental cancer findings across 200 hospitals. - Product owner of a data science suite for unstructured data called "Synthesys Studio" that supported a notebook interface, an active learning data annotator, and a Spark runtime
2014 - 2016
Researching - Used prospective technology solutions to spearhead entry into a new healthcare vertical. - Trained 160 billion parameter language model as a part of a two man research team. - Exceeded best published results in neural word embedding quality and sentiment analysis (presentation linked below)
2013 - 2014
2013 - 2014
Co-founder of a political transparency startup. We developed a system to expose trends in political campaign finance, lobbying, and legislator voting using machine learning and data visualization. Accepted to the Jumpstart Foundry accelerator which included a pre-seed investment. Turned down an unfavorable acquisition and folded the company due to poor traction in our ~18 months of operating.
2008 - 2013
2008 - 2013
Generalist freelancer. Technical tools included: - Data engineering: primarily Hadoop stack (e.g. map-reduce, Hive, Oozie) - Data analytics: python / sklearn - Web development: Java / Springboot