Joined the Network Nervous System team. Launched the Service Nervous System, a deployable DAO on the Internet Computer that allows for one click decentralization and governance of dapps built on the Internet Computer.
Assisted the founding of an E-commerce business selling curated ready-made art supply kits that emphasize taking care of your mental health. As an advisor I helped the business file its startup paperwork and stood up the financial vertical including 3rd party software choice, bookkeeping, tax planning, and pricing. I also help with the design and material sourcing of the ready-made kits as well as manage Smudge's newsletter and inventory systems.
As an SDE at Amazon F3 I worked in post-order fulfillment orchestration. I built services supporting the grocery delivery products available on Amazon.com.
As an SDE in the Alexa Mobile App Experience backend team I built and deployed services to support content creation for the Home Channel of the Alexa Mobile App. After my tenure on the backend team, I continued onto the personalization team and built data pipelines, productionalized machine learning models, and created Ranking as a Service (RAAS) applications.
As a lead programmer in the Learning & Experimental Economics Projects (LEEPS) Laboratory I participated in cutting edge economic research conducted around the world. My responsibilities included managing the High Frequency Trading (HFT) team projects and working alongside researchers to develop software solutions.
HFT team key projects included the migration and refactorization of software platforms created in the Redwood framework to a more powerful python framework called oTree. Continuous Double Auction (CDA), Frequent Batch Auction (FBA), and an extension to Investor Exchange (IEX) were all experimental markets migrated to oTree during my time at LEEPS. The HFT team also maintained and updated a NASDAQ-like exchange server created by Cramton Associates at the University of Maryland which performed bid and ask order matching inside for our markets.
I also drove several individual projects while at LEEPS, one of which was to create a python pipeline that displayed real time analytics for experiment participants. Another such project included producing a framework for researchers to test trading platforms using a Gherkin interpreter to spawn selenium bots that modeled trader behavior. I also acted as the system administrator for key projects, creating and managing AWS EC2 instances where exchange servers were deployed.
