
I graduated from UIUC with a Masters in Computer Science, and obtained my bachelor's degree in Computer Science from Bellevue College. I was born in Canada, but grew up in the Bay Area and now live near Seattle, Washington and San Mateo, California.
I am a software developer with experience in full stack web development and cloud services. Previously, I worked at Nuclearn.ai (nuclear power startup) as a full stack engineer, and did multiple internships in the civics, telecom, environmental, and educational sectors. I am broadly interested in integrating the latest AI into useful products.
When I'm not sitting at the computer, you can find me solving Rubik's Cubes of various sizes, practicing a difficult piano piece and posting it on my Instagram, doing 1000 piece jigsaw puzzles with my sister, or taking long walks around my neighborhood.
Activities: CS 411 Database Project Team Lead
Relevant classes: User-Interface Design, Databases, Advanced Data Management, Human-Computer Interaction, Artificial Intelligence, Distributed Systems, ML + Data Systems
Activities: CS Student Advisory Board Treasurer
Relevant classes: Data Structures, Algorithms, Cloud Computing, Operating Systems, Software Engineering, Computer Architecture, Internet of Things, Computer Networks, Linear Algebra, Senior Capstone I, II, III, Discrete Math, Calculus III
Activities: Speech and Debate Club Member, Sophomore English Tutor
Relevant classes: AP Computer Science A,, AP Statistics,, AP Physics C: Mechanics,, AP Chemistry,, AP United States History, AP Calculus AB

Kaliber Labs Inc.
01/2026 - present • San Mateo, CA, United States (Onsite)
• Rearchitected the Conversation Pipeline demo to be more modular and extendable to various medical skills, such as Speech Therapy / Patient Intake using FastAPI and React. Successfully orchestrated multiple model operations within one system (Qwen, GPT).
• Leveraged the Conversation System to create a data platform deployed on AWS for subject matter experts (SME's) situated around the US to verify and collect data on doctor-like responses from the in-house medical AI.

Nuclearn
12/2024 - 02/2025 • Phoenix, Arizona, United States (Remote)
• Utilized FastAPI/SQLAlchemy to develop backend functionality for retrieving up to 25 most similar records in a dataset using 500+ embeddings generated through natural language techniques. Architected a back-end workflow with new SQLAlchemy datamodels to migrate 100+ YAML configurations across five config files into PostgreSQL, enabling dynamic updates via a React frontend, eliminating the need for Nuclearn's developers to restart the web backend during development if such configurations were changed.
• Optimized markdown processing for artifacts displayed across 10+ tool calls in AtomAssist, Nuclearn's proprietary AI chatbot. Implemented role-based access control with error handling for consumer, admin, and contributor roles, ensuring secure access to 10+ unique web app features on the frontend like Cap AI, AtomAssist, Capitalizer, and Cluster Analytics

PolicyEngine
03/2024 - present • Issaquah, Washington, United States (Remote)
• Worked with 3 contributors on PolicyEngine's web app project on GitHub (over 600 visits monthly).
• Assisted in migrating the front end component library to the newest version of Ant Design. Streamlined 150 Jest unit tests by refactoring 5 metadata API calls to occur in the beginning of testing runs.

EcoLogical
09/2023 - 12/2023 • Champaign, Illinois, United States (Remote)
• Using Ant Design components to improve the front-end experience of the flagship web app.
• Set up 10 mutations and queries to AWS Amplify backend for the user signup workflow.

IOIntelligence
07/2022 - 09/2022 • Bellevue, Washington, United States
• Developed a 5 page application dashboard that displays networking analytics from company's wireless devices worldwide.
• Used Chakra UI, React for frontend and Express.js and MySQL for the backend.

Molloy Moreno LLC
06/2021 - 09/2021 • Issaquah, Washington, United States
• Developed a serverless web app for New York school teachers to track the academic progress of at-risk students.
• Made final design choices for UI components.
• Used React to implement UI components on the frontend and AWS for storing media on the backend.
A desktop application that allows you to query 4 LLM's at once for a single input. Supports Claude, ChatGPT, and Gemini and more! As someone who uses LLM's a lot in my day to day life, I wanted an easy and convenient way to ask multiple LLM's at once, and it resulted in this project.

For my senior year capstone project in undergraduate, I worked with three others to create a Yelp-like app that will empower and enable food truck vendors to more easily attract customers and run their business. I worked with mostly Typescript and React.js on the front end for developing the UI and used Adobe XD for the initial mockups. On the backend, I helped with writing SQL queries and making sure the AWS services were linked up seamlessly with the frontend.

In my first internship, I helped create an educational web app that helps at risk high school students track their future career goals. I utilized various front end technologies like React.js along with backend tools like AWS for hosting. After the internship was completed, this app is now in beta testing in a high school of a couple hundred students in New York City.

A web application with a React frontend and three backends written in different languages that are all connected to a common MySQL database. Users will be able to send repetitive queries to any backend that they choose and see how fast the server responds after the completed operation.
I started learning piano when I was 8 and took lessons for almost 10 years. I passed the Certificate of Merit Level 10 exam and also went to multiple piano competitions on top of yearly recitals. After quitting private lessons in high school due to work, I began to play more as a hobby, and started uploading footage of myself trying out challenging pieces on my Instagram and TikTok. I play mostly classical composers like Chopin, but also a large variety of other genres too!
I am a fan of Rubik's Cube speedsolving and have participated in multiple official competitions since 2014. My best time in a competition was 12.92 seconds. Here is a video of myself solving a 3x3 cube in under 14 seconds at a Bay Area event in 2015.
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Contact: colizu2020@gmail.com · @ColinZhouUSA · LinkedIn