Ronney Do

github.com/ronney221 · (425) 956-4199 · ronneydo1@gmail.com

Welcome to my portfolio!

I graduated from the top-ranked University of Washington with a Computer Science degree in 2020 and ventured into the dynamic crypto and NFT space during its bull run, capitalizing on its lucrative opportunities.

Now, I am eager to pivot back into software engineering, bringing a unique perspective and an updated skill set—as showcased by my recent GitHub projects.

Despite my unusual background, I'm trying to leverage my strong academic background and diverse experiences in new software engineering roles.

I’m actively seeking software engineering roles where I can contribute and grow. Feel free to explore my work, and don’t hesitate to reach out if you'd like to connect!

Education

University of Washington - Seattle

Bachelors of Science in Computer Science

Paul G. ALLEN SCHOOL OF COMPUTER SCIENCE & ENGINEERING

2016 - 2020

Experience

Blockchain Developer

Cryptocurrency & Non-Fungible Tokens

As an experienced Blockchain Developer, I have successfully launched multiple NFT collections on the Ethereum blockchain. My expertise lies in developing and deploying custom Solidity ERC-721 smart contracts with advanced functionalities, including minting, transferring, burning, and staking. Through optimization, I improved transaction efficiency by 30% and reduced gas costs by 15%. Additionally, I integrated IPFS decentralized storage solutions using cryptographic hashes to ensure 100% data integrity.

January 2021 - January 2024

Programming Instructor

STEP Computer Academy

As a Programming Instructor, I designed and led a Python robotics course for over 15 middle and high school students, enhancing engagement through interactive, hands-on projects with LEGO EV3 robotics. By developing custom algorithms using MINDSTORMS EV3 software, I equipped students with essential skills in robotics programming and sensor integration. This empowered them to design functional robotics projects and sparked their interest in STEM careers.

June 2019 - October 2019

Projects

RecipeIQ

RecipeIQ is an intelligent chatbot that helps users find recipes based on ingredients they have on hand.

Powered by Dialogflow for natural language understanding, Flask for webhook fulfillment, and Spoonacular API for fetching recipe data, this project demonstrates an end-to-end solution integrating AI, APIs, and databases (MongoDB) for personalized recipe recommendations.

View on GitHub

Yelp Review Sentinment Analyzer

The Yelp Review Sentiment Analyzer is a web-based application that fetches the most recent Yelp restaurant reviews and uses IBM Watson Natural Language Understanding to analyze sentiment, emotions, and key concepts from the reviews

Built using Java, Spring Boot, RESTful APIs, and front-end technologies like HTML & CSS, this project allows users to gain deeper insights into customer reviews, empowering them to make better dining choices.

View on GitHub

Cartoonify

The AI Avatar Generator is a personal project that transforms user selfies into stylized avatars using deep learning techniques. By utilizing state-of-the-art neural networks, this model processes images to generate various artistic styles, such as 2D cartoons, anime, or other creative avatars

This application provides users with an engaging experience by allowing them to generate customized and shareable avatars, optimized for social platforms like TikTok, Instagram, and more.

View on GitHub

Allergen Helper

Allergen Helper is an Android application designed to help users manage food allergies. It allows users to filter and sort restaurant menu items by dietary restrictions, specific food allergies, and dish types.

Leveraging machine learning, the app detects potential allergens based on users' past reactions.

With Firebase authentication, users can securely save their allergy information, and the app dynamically parses restaurant data from Joey’s Kitchen and Cheesecake Factory to provide real-time allergen insights.

Youtube Demo

License Plate Classifier

Developed a computer vision application for real-time license plate detection using LBP algorithms and OCR for precise character extraction, improving accuracy by 20%. Trained on over 200 manually labeled images, ensuring robust detection under various lighting and quality conditions.

Flight Booker

Built a cloud-based flight booking platform with account creation, flight search, booking, payment, and cancellation features. Deployed on Azure with a scalable SQL database, ensuring secure transaction management and 100% data integrity using concurrency control and two-phase locking.

Technical Skills

Front End

React, JavaScript, HTML & CSS, Bootstrap

Back End

Java, Python, Kotlin, C, C++, Solidity, SQL, PyTorch, Spring Boot, Node.js, Flask, MongoDB

Testing / Deployment

AWS:ECS, GCP, Azure, Heroku, Postman, JUnit