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Ronney Do
 * About
 * Education
 * Experience
 * Projects
 * Skills


RONNEY DO

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

Welcome to my portfolio! I’m a passionate software engineer with a strong
background in building innovative, scalable solutions

After a recent break, 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!



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EDUCATION


UNIVERSITY OF WASHINGTON - SEATTLE

Bachelors of Science in Computer Science
Paul G. ALLEN SCHOOL OF COMPUTER SCIENCE & ENGINEERING
2016 - 2020

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EXPERIENCE


PROGRAMMING INSTRUCTOR

STEP Computer Academy

Led and designed a Python robotics programming course for 15+ middle/high school
students, increasing engagement through interactive, hands-on projects with LEGO
EV3 robotics.

Developed and taught custom algorithms using MINDSTORMS EV3 software, providing
students with key skills in robotics programming and sensor integration

Empowered students to design functional robotics projects, sparking interest in
STEM careers

June 2019 - October 2019

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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.

Open RecipeIQ Chatbot



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

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.

Coming Soon

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.

Coming Soon

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SKILLS

Languages
 * Java, Python, Javascript, SQL, C++, C, Kotlin, HTML & CSS, R


Frameworks & Libraries
 * Spring Boot, Node.js, Flask, PyTorch, Unity


Technologies & Tools
 * Git, AWS, GCP, Linux Bash, Azure, MongoDB, Postman, Firebase, Heroku


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