Helping innovative businesses integrate AI + full-stack software to grow revenue, reduce operational complexity, and allow owners to focus on what they do best.

Driving build infrastructure acceleration for mission and safety-critical workloads. Backed by Sequoia Capital, Wellington Mgmt, Samsung, and many more, and comprised of some of the best engineers from Apple, Google, Tesla, MongoDB, and Twitter.

Raised $250k from On Deck X, Third Web Capital, and various angels to build the future of digital economies for unique, physical collectibles on the blockchain. Developed the platform/infrastructure, grew team to 7+, and scaled AUM to $500k+ in < 3 mo's of launching our beta.

Developed software and data pipelines for the Deep Space Network to extract, transform, and load data coming in and out of major NASA satellites like Mars 2020 with over 25B current transaction flows. Also worked on Research in Artificial Intelligence for Spacecraft Resilience (RAISR), which speeds up fault diagnosis in spacecraft, improving mission efficiency by diagnosing faults real-time and reducing downtime.

Assisted the MarTech team focusing on backend and iOS development. Also shipped social selling features to millions of users following their super bowl ads.

Researched, analyzed, and reported on significant recent deal flow and capital raises in the blockchain/cryptocurrency sector

Liquidity Digital is a Blockchain-based technology firm creating a global network for private capital markets. During my time there, I led and managed the development of a kNN-based deal recommendation engine with collaborative filtering to match VC investors with startup companies based on preferences and similar network investments.

HarbourVest Partners is a global private equity investment firm with under $75 billion assets under management.During my time there, I developed performance dashboards (MicroStrategy) and automation scripts development (Python) within the BI team, delivering to verticals such as Portfolio Management, Quantitative Research, and Investor Relations.

• Worked on a project to classify lung nodules as malignant or benign using machine learning and deep learning techniques with Python 3• Researched and analyzed previous academic methods and presented them for implementation• Utilized OpenCV and NumPy for the preprocessing of CT scans to use in classification algorithms• Located and extracted crucial spreadsheet data using Pandas for connecting the code with the training dataset• Building an input pipeline with TensorFlow to utilize the ML/DL algorithms and Microsoft's ResNet for transfer learning

• Collaborated to organize a 5k run and other competition-based fundraisers (raised $5000+ in 2017)• Led and managed social media campaign to advertise and display fundraising opportunities• Designed their logo for branding and apparel in Adobe Photoshop• Worked with Connecticut Children's Hospital to provide wheelchairs for children with neurodegenerative diseases, and introduced them to accepting Bitcoin for donations