Leading client acquisition for projects. Managing a team of 5 members.

Responsible for upkeeping all industry partnerships and projects with CodeLab. Mentored a project with Volt from start to finish.

Partnered with Volt (https://www.textvolt.com/) to develop a web dashboard for visualizing cost analytics. Over six weeks, I built dashboard using a React-based frontend with Vite, Tailwind CSS, and PrimeReact, alongside a FastAPI and PostgreSQL backend. This dashboard utilized the data in the PostgreSQL to provide high-level cost summaries and deep-dive pages for detailed customer analysis for Volt's customers. See full project here: https://codelabdavis.medium.com/volt-1dffc4ef911a.

At Apple, I developed a MongoDB-based plugin in Golang, reducing server metadata search times from 30 to 1.5 seconds. I also optimized storage move operations by addressing inefficiencies in the verification process, which decreased server disruption time by 18 hours monthly across 2,000+ moves. Additionally, I architected a standardized REST API with the Go ent framework, significantly streamlining Choria integrations and significantly reducing development time for Choria applications.

At GalaxySDK, I led the Agile development of a game backend using Flask, Firestore NoSQL, and OpenAI API. I containerized the application with Docker and deployed it on Google Cloud Run, ensuring seamless scalability. As my stretch project, I enhanced the UI and optimized frontend/backend data flow of the SDK using React, Go, and PostgreSQL, resulting in an 8% boost in user retention. I also revamped the Sign Up page with Typescript and TailwindCSS, increasing monthly signed-in users by 23%.

At theCoderSchool, I had the opportunity to work with over 100 students, leading both summer camps and individual tutoring sessions. I taught various programming languages, including JavaScript, Python, C++, Scratch, and Java, helping students of different skill levels build foundational coding skills and complete hands-on projects. My role involved not only teaching but also fostering a passion for technology, ensuring students had a fun and engaging learning experience.

At Salubrity, I developed a web app with a Django backend and HTML/JS/CSS frontend to streamline the customer identification process, saving 20x the time previously required to find customers. I used NGINX to host this server infrastructure. Next, I used Pandas and NumPy to run data analyses and help identify potential clients, expanding sales from 1 to 10 cities.

At Gardeneur, I designed 20 neural networks using Tensorflow for plant identification with over 2 million parameters. I experimented with transfer learning across eight deep learning models, achieving a 96.7% classification accuracy in 50 different categories. I then developed a React Native app that ran this optimized model on-device, reducing AWS cloud costs by 80%.