- AI & Machine Learning Infrastructure
- Back-End Engineering / WebSockets
- AWS / Google Cloud / Firebase / Azure
- GraphQL, SQL, NoSQL Databases
- React Native Mobile Apps (iOS & Android)
- TypeScript / React Web / HTML / CSS
- XCode / Android Studio
- Github Actions / CI CD / ETL Protocols
- Custom CLI Generators & Bash Scripts
- NodeJS / NextJS / JavaScript / ES6+
- Dashboards & Data Visualizations
- Unit Tests & Integration Tests
- Webscraping Datasets
- Fluent in Python
Lead Mobile & Web Engineer • Freelance Contracts • Remote • November 2019 - Present
- Designed, developed, and published four iOS/Android social networks
- Created a fitness iOS/Android app for managing gym sessions and making payments
- Refined an iPad React Native app to improve the map’s performance and fix bugs
- Built websites for clients and taught them about long-term website maintenance
Lead Mobile & Web Engineer • Full-Time • Remote • June 2023 — August 2023
- Made improvements to the codebase & documentation for a conversion from an old, unsupported mobile app language to React Native with Expo for both iOS/Android
- Hired as their lead, in-house Mobile Engineer, but I resigned after 5 weeks because my employer would not allow me to live outside of the United States for more than a few weeks
Lead React Native Mobile App Developer • Full-Time • Remote • March 2022 - May 2023
- Re-engineered the app’s architecture using CLI generators
- Oversaw app’s design, development, testing, and publishing
- Integrated group chat features, push notifications, & calendar sync
- Overhauled the UI/UX, performance, and core functionality of the app
- Generated reusable hooks, scripts, components, & screens
- Led and mentored a junior React Native team
- Decreased the app’s overall loading time by 90%
- Improved efficiency by reducing number of API calls
- Transitioned the codebase from Javascript to Typescript
- Re-wrote npm/yarn packages using raw React Native to slim down dependencies
- Published updates to the Apple and Google app stores
- Modernized and maintained newest React Native & Expo versions
- Evaluated Google Crashlytics to further improve stability & performance
- Version 2.0 release date is June 2023
React Native Mobile App Developer & Back-End API's Developer • Full-Time Contract • Remote • February 2021 - March 2022
- Managed front-end, custom back-end cloud functions, and authentication endpoints
- Integrated various APIs, including: bank accounts, stocks, and cryptocurrencies
- Wrote the data visualizations logic for viewing the performance of stocks & crypto
- Built social network features: chat, user profile, posts, likes, emojis, and comments
- Constructed core functionality: copy portfolio, trending investors, and popular stocks
- Custom-built a companion admin web dashboard to monitor the mobile app’s performance
Data Science Tutor for University Students • Part-Time • Remote • October 2019 - February 2021
- Taught over 900 college students JavaScript, HTML, CSS, Python, dashboards, databases, API’s, & machine learning
- Managed a busy schedule of remotely teaching 30+ students per week for ~60 minutes per lesson
Teaching Assistant: Data Visualizations • Part-Time • Remote • October 2019 - February 2021
- I was remotely contracted for six months to assist a group of (30) Vanderbilt University students through an intense, 6-month bootcamp-style curriculum of learning how to build websites, dashboards, data visualizations, databases, & machine learning models.
- Productionizing Machine Learning Models, Python, HTML, Data Engineering, SQL, NoSQL, Back-End API’s, Data Visualizations, Natural-Language Processing (NLP) Models, Neural Networks, Statistical Analysis, Classic Algorithmic Paradigms, Computer Vision, Data Structures (ie: hash tables, graphs, BST’s, etc.)
- Calculus I, Calculus II, Calculus III, Statistics, Data Structures, Programming Principles I, Programming Principles II, Discrete Mathematics, Ethics of Computers in Society
- Google Cloud Developer, March 2021
- DataRobot 10x Data Science AutoML, September 2020
- TensorFlow Developer, July 2020
- AWS Cloud Practitioner, June 2020
- Y Combinator Startup School, March 2020
💼 PERSONAL PROJECTS (View Portfolio Site)
STEM Tech Network — iOS/Android Social Learning Network for Future-Focused STEM-related Topics
- Built my own idea in my free-time as a full-stack, solo, unicorn developer (everything front-end to back-end)
- Integrated with AWS database & Hasura GraphQL endpoint for access to live websocket connection
- Hosted custom API’s on Netlify and connected with Google Firebase to store images/videos and user auth
- Implemented Over-the-Air (OTA) Updates to instantly deliver bug fixes and improvements to users
- Utilized custom CLI templating to generate exceptionally organized Typescript components & screens
Marriage DAO — iOS/Android Blockchain React Native App Developed at the Miami Hack Week 2023 Hackathon
- Built-in @WalletConnect for users to be able to login to the mobile app using one of dozens of web3 wallet providers
- Leveraged API for users to create blockchain marriage contracts on the Ethereum/Polygon Blockchain network
- As part of the hackathon, we had five days to complete this project, and we also created a React website
Landscape Supply App — iOS/Android App & Online Web Dashboard to Buy/Sell Landscape Supplies
- For 3-months part-time, I wrote the iOS/Android app in React Native & built the web dashboard
- Used Python/Flask & HTML/JS/CSS to build the web dashboard and back-end api's
- Hosted the cloud infrastructure & authentication for this project on the Google Cloud Platform
Better Reads App — iOS App w/ Machine Learning for Readers to Track, Share, & Discover New Books
- Used Agile & Scrum methodologies to iteratively deploy Natural Language Processing (NLP) models
- Practiced CI/CD via blue/green RESTful Flask microservices on AWS EB to facilitate JSON post requests
- Launched & managed a PostgreSQL instance on AWS RDS to store millions of GoogleBooks data
Flight Prices — Airline Pricing Analysis & Interactive Pricing User-Interface
- Built front-end user interface with Flask for user to interact w/ a predictive machine learning model
- Tediously gathered 27M rows of data, wrangled/cleaned to 9M, uploaded data to Kaggle
- As a data analyst, I generated statistical analyses, distribution charts, and business intelligence insights
Brain Power — Using Machine Learning & an EEG Device to Control Technology
- Built an application for the user to control light switches & thermostats with their brain
- Collected data from an EEG device and used Scikit-Learn to train a predictive model
- Deployed back-end Python get request API w/ Flask: communicate w/ EEG device, detect brain patterns
Spotify Music — Recommends New Music Based on Your Favorite Songs
- Connected with Spotify’s API to harvest data (and metadata) about the songs in their database
- Built back-end Python recommendation engine and API’s (get & post requests) to return predicted songs data to front-end