Acted as the third founding SWE for the MVP. The architect and main maintainer of Nemesis v1 post-rewrite.My main accomplishments were:• Drove revenue growth from $100,000 to over $350,000 by leading a team of 3 developers to rewrite the seed funding prototype to a production-ready Typescript/Electron application.• Grew the post-rewrite monthly user retention rate from 29% to 61% by leveraging customer feedback to identify and ship 8 in-demand, fullstack features.• Increased the backend test coverage by 53% by creating a Typescript CLI to automate testing of critical application operations.• Facilitated efficient code reuse in contracted collaborations amounting up to $150,000 by organizing the Lerna monorepo and implementing GitHub Actions CI/CD pipelines and Verdaccio private NPM registries.• Architected and developed the core object oriented Typescript framework that made creating runnable/cancellable automatic NFT minting/sniping tasks across multiple blockchains easy to do and efficient.Other less "impactful" things I worked on:• Prototyped the backend of an analytics platform with Nest.js (ended up being rewritten in Go)• Wrote a Go CLI to notify users of transactions across multiple wallets instead of just one.• Closed a ton of customer support tickets.• Reverse engineering galore• Reduced Sentry costs from $1000+ per month to <$500 per month by implementing IP bans, a customer rate limiter in our application, and error filters.• Wrote the webhooks framework for notifying users of successful/failed transactions.• Wrote a bunch of monitors to detect regressions in marketplace source code.

June 2021 - August 2021: • Independently built the JavaScript/Vue/Ionic frontend for a full stack shoe inventory management web application with a UI/UX designer/PM and backend engineer.August 2021 - December 2021: • Solo-developed and integrated a Go library for integrating four captcha solving APIs vital for the main Go command line interface serving 1000+ monthly users.• Worked with customer support and QA to quickly improve the CLI's automatic purchasing performance.• Improved developer productivity and eliminated over 80% of manual work by deploying a CI/CD pipeline with GitHub Actions and Linux to automatically ship a versioned build of the CLI to users and Q&A.

• Researched and developed a generative adversarial neural network to automatically generate mouse movements in Python/TensorFlow for an API serving bursts of 1 million requests per hour.• Made a REST API to demonstrate how the usage may look in production.• Research process was done independently with Jupyter Notebook and Google Colaboratory.• Learned to better breakdown a business problem to a technical solution.