Jul 2018 – Present · 7 yrs 8 mos

• Angel and seed investor in various AI and technology startups. Select Angel investments:
• Ollama
• Fal.ai
• LlamaIndex
• Higgsfield AI
• Superblocks

Apr 2016 – Present · 9 yrs 11 mos · San Francisco, California, United States · Remote

• Super.com is the all-in-one app to save, earn and put more money in your pocket. Our mission is to help people experience more of what life has to offer, regardless of their income or circumstance.
• Come join one of the fastest growing startups in North America. Some key metrics:
• $1B in sales/year
• $200MM+ in revenue/year
• profitable
• 50MM+ users
• $150MM+ USD in funding, including 2x NBA MVP Steph Curry
• We are working on complex problems within Ecommerce, Fintech, Data Analytics and Scalable Infrastructure and have been featured on the New York Times, Forbes, Bloomberg, TechCrunch, Fast Company, etc

Aug 2014 – Oct 2015 · 1 yr 2 mos · San Francisco Bay Area

• Defined and built the next generation of brand new music streaming products and experiences for YouTube Music
• Built and launched Music Insights for Artists (www.youtube.com/artists)

May 2013 – Aug 2013 · 3 mos · San Francisco Bay Area

• Wrote brand new machine learning underwriting model using novel datasources to improve classification performance for loan applicants with poor and/or no credit history
• Worked with former CTO of Zynga to distribute and scale modeling infrastructure, decreasing processing time by half
• Wrote draft patent application for new method of classifying underbanked loans applicants

Mar 2013 – May 2014 · 1 yr 2 mos

• Co-founder of mobile, local, social discovery network serving 2+ Million pageviews/day
• Architected, developed and scaled backend data store, serverside code and API serving up to 4500+ request/minute

Sep 2012 – Jan 2013 · 4 mos · Waterloo

• Lead independent project on Computational Modeling of Time Dependent Series
• Investigated and modelled human biases in time series data of US college football statistics
• Developed machine learning to model data, identify and predict overrated and underrated college football teams

Jan 2012 – May 2012 · 4 mos · Greater New York City Area

• Worked on Startup within Bloomberg that provided professional solutions in scouting and predictive analytics for MLB Teams Lead developer on project with a MLB team.
• Managed client calls, analyzed business requirements, designed and implemented statistical forecasting solutions
• Team's performance improved from lowest ranked team to top three in the AL Division Series within a year

May 2011 – Aug 2011 · 3 mos

• Created code for internally developed derivatives (credit, interest swaps) trading engine (K2) using Java, JBuilder Eclipse, ClearCase and ClearQuest
• Developed SQL, Unix Scripts code that retrieved daily derivative trading information and compile reports for K2 Web Report generation
• Gained working knowledge of exotic financial products, derivatives and swaps, pricing models
• Worked effectively with team of business analysts and developers to meet the stringent requirements of traders and business clients

Jan 2011 – Jan 2012 · 1 yr

• Youngest person to be admitted to the Next36 entrepreneurship program. First attempt at a software startup. Made a lot of mistakes. Learned a ton. Made friends and mentors forever.