David Robinson

Software Engineer

Sole proprietor•  April 2021 - Present

○ Developed trading software in Python to listen for signals in blockchain activity that would indicate an upcoming high-volume. Took advantage by placing limit orders optimized to beat out opponents doing the same. Averaged 2%–3% return once every two days. ○ Leveraged TensorFlow in Python to predict the future prices of cryptocurrencies using stacked attention and long short-term memory (LSTM) nodes on historical data. Beat the market by 88% with this model by 20 months after its creation. ○ Developed trading software in Python that places limit orders to take advantage of historically high volatility coins. Executed usually two or three trades per month returning 4%–8% per trade.

Consultant/statistician

Maple Engineering•  August 2019 - December 2021

○ Performed data cleaning and developed a multivariate statistical model using R to predict expected revenue for Maple given incoming job proposals. ○ Created interactive data visualization software using JavaScript to make company’s metrics easier to comprehend. ○ Met bimonthly with owner to capture requirements, update on progress, explain methods being used, and showed how to interpret their results for 100% customer satisfaction.

Software Engineer

SatoshiSquares.com•  August 2017 - March 2021

○ Invented and created cryptographic, provably fair games integrated with blockchain technology. ○ Developed full-stack and launched site using React.js, Node.js, Docker, MongoDB, AWS, and Microsoft Azure. Wrote APIs and WebSockets. ○ Worked with marketing and design experts to create eye-catching promotional materials and enhance the corporate website to be intuitive and attractive for clients. ○ Performed customer service/support, targeted beta testing with clients, and regularly engaged clients receiving feedback on site updates.

machine learning poker software engineer/architect

Sole proprietor•  January 2010 - May 2016

○ Designed C++ software that loaded game histories from “hyper turbo” sit-and-go poker games. Calculated the push/fold Nash equilibrium solution for each hand and flagged hands where the player made sub-optimal decisions. ○ Developed C++ machine learning software that computed the approximate Nash equilibrium solution for a two-player cash game where players begin each hand with 20 times the big blind (capped 20 BB, a mandatory bet). Used solution to create a bot to challenge users for player development. ○ Created C++ machine learning software that computed the approximate Nash equilibrium solution via counterfactual regret minimization for a six-player (capped 20 BBs) cash game. Allowed online players to view optimal decisions in real-time through the machine learning results.

Professional poker player

Sole proprietor•  January 2006 - May 2016

○ Leveraged mathematics and game theory to deduce opponents’ hand ranges and compute the odds in real time to refine patience, discipline, and critical thinking. Grew accordingly in the fast-paced poker tournament environment. ○ Played up to 12 games at once online to develop sound, fast paced decision-making in a highpressure environment and detected exploitable weaknesses in my opponents. ○ Ranked #2 “super turbo” player in the world in 2009. ○ Accumulated $20,000,000+ in winnings (not including losses) in online tournaments. ○ Won entry into 40+ major tournaments around the globe.

Professor of Mathematics

Corvinus University•  January 2012 - May 2014

○ Taught calculus and game theory courses to Hungarians and international students. ○ Developed curriculum, graded assignments, and created interactive games to promote learning. ○ Engaged with students in one-on-one tutoring sessions and built relationships with students and the Hungarian community via recreational activities.

Mathematician (intern) in the Director’s Summer Program

National Security Agency•  May 2005 - August 2005

○ Collaborated with NSA mathematicians and two dozen mathematics students on problems critical to the intelligence gathering and information assurance missions of the agency. ○ Applied abstract algebra, geometry, number theory, probability, statistics, combinatorics, graph theory, algorithms, and computer science skills to a wide range of problems. ○ Presented findings directly to the Director of the NSA.