Joined local developers for a day of building and exchanged perspectives on AI, current projects, and the changing development workflow.
About Me
I am a software engineer and researcher targeting the Class of 2027. My passion lies in dissecting complex systems and rebuilding them with better efficiency and design.
It began in 2018 with a single line of Python. By 2021, I was integrating code with hardware, competing in the Beijing Robotics Competition with custom Arduino implementations. This engineering rigor carried into 2023 at the Jinpeng Sci-Tech Forum.
Recently, I've shifted focus to solving tangible problems. In 2024, I engineered a Python-based data analysis system to automate business intelligence for my family's business. In 2025, I expanded into mobile development, launching NightGuard on the App Store. I also actively engaged with the industry by attending the Vivo Developer Conference, while simultaneously working on experimental Computer Vision research.
In 2026, I expanded from building products to building communities. I co-founded Cobay, where I organize offline founder meetups and lead development of the website and community product. I also continued exploring the wider builder ecosystem through AWS Summit China and Cafe Cursor Beijing.
Tech Stack
- Languages: Swift, Python, Java, Rust, SQL
- Frameworks: SwiftUI, PyTorch, Astro, Spring Boot
- Tools: Git, Docker, VS Code, Xcode, Cursor
Journey
Attended the Shanghai summit and explored production AI infrastructure, including Snowflake's multimodal customer-service data workflows.
Started an AI builder community focused on local founder meetups. Leading offline event organization and the website and product engineering.
The data augmentation paper was not accepted. The review outcome became a checkpoint for improving the methodology and experimental validation.
CurveStudio was not selected for the Swift Student Challenge. Reflected on problem selection vs. execution — wrote about the experience.
Started taking freelance development commissions. First experience having clients pay for my code — learned about communication and delivery.
Built a native macOS GUI for tw93/Mole (a system cleaning CLI tool) using SwiftUI. Contributing to open source.
Built a multi-language version manager for macOS in Rust. 19 releases in 6 weeks, supporting Node.js, Go, Java, Rust, and Python.
Submitted paper 'Rethinking Data Augmentation for Small-Sample Learning' to EUSIPCO 2026. (Paper ID: 1089)
Advanced from Bronze to Platinum division in a single contest window during the January competition.
Released independent iOS app to the App Store. Achieved 50+ downloads in the first month.
Attended the Vivo Developer Conference to explore industry trends and network with mobile engineers.
Initiated research on Rethinking Data Augmentation, laying the foundation for the EUSIPCO submission.
Developed a Python crawler and data analysis system to automate business intelligence for my family's business.
Competed in the Beijing Jinpeng Science & Technology Forum with an advanced Arduino engineering project.
Participated in the Beijing Middle School Arduino Robot Competition. Early exploration of hardware-software integration.
Wrote my very first line of Python code. The journey into computer science began.
Connect
GitHubContact me via noah@noahqin.dev