Genesis facilitates trading, lending, and custody of digital assets amongst global institutions.

As a full stack engineer at Amazon Advertising, I provided advertisers with a website platform to collaborate on and share graphics for the creation of advertisements. Using React and Java, I built frontend and backend services that managed the flow of 1100 users and 15,000 graphics every month.

In our push towards automation, I designed and implemented a suite of image recognition features, allowing automatic detection of image metadata for validation and information purposes which increased workflow completion efficiency by 21%. I also designed and collaborated on various data infrastructure changes that paved a path for scaling our application to integrate with various services in the Advertising ecosystem.

As a developer on our power markets trade floor, I solved problems ranging from data management to machine learning implementations. Collaborating with power traders, I built data-centric softwares that strengthened trading performance and increased profits.

A major software that I built and managed was a data ingestion program for fueling fast-paced analytics. My software serviced 40 traders and scraped over 210 websites on customized schedules, increasing data availability by 4x and saving approximately $425,000 in third party expenditures.

Using Angular and Python, I built various web applications that aided traders in managing data ingestion and analytics. Some of my main creations included an interactive data catalogue, a what-if analysis tool for trading risk/collateral, and automated processes for quickly evaluating financial transmission right inefficiencies. These tools freed up 80 hours/month of menial trader labor and generated profits of $100,000.

During my research, I co-invented a novel oil leak sensor system for pipeline transportation, cutting detection time of oil spills from weeks to hours in comparison to commercial systems. The system leveraged a combined design based on polymer science, signal processing, and data analytics. Leading a team of 3 graduate students, I produced research and prototype deliverables for our client company, raised $200,000 in government funding, and published my research findings through 1 patent and 1 journal paper.