• Bachelor of Engineering (Information Engineering and Media)
• Honours (Distinction); CGPA: 4.47 / 5.00
• MOE SM2 Scholarship Recipient

• Aalto University, Finland Jan 2022 - Jun 2022

• Built a kubectl-style Python CLI to provide a unified interface for Illumina Run Manager services, improving developer experience and reducing test setup time by 30%.
• Overhauled idempotent Bash lifecycle tooling for Kubernetes-based DNA sequencing software, enabling one-click installation, cutting deployment incidents by 25%.
• Built an agent system with evals, exposing automated triage/debug/PR review workflows as HTTP endpoints to enable zero-cost org-wide AI adoption; cut on-call resolution time by 40%, while the system self-improved its PR acceptance from 70% to 93%.
• Improved a Jenkins CLI to be agent-first, closing the self-verification gap in "test → triage → fix → test" loop; achieved 9-hour autonomous production bug resolution across 3 micro-services.
• Implemented Andrej Karpathy's auto-research on test optimization, reducing CI run time from 80s to 10s, and nightly e2e suite from 4hr to 2hr 37min.

• Responsible for quality assurance for LiveNet CDN live streaming infrastructure, and BytePlus Live SaaS across server, web and mobile; supporting livestreams with over 500K PV on BytePlus and TikTok.
• Optimized and deployed PyTest automation in CI/CD among cross-region data centers; shortened release cycles by 30% while maintaining over 99% pipeline stability.
• Initiated team transition from providing test support to delivering testing capabilities; built QA no-code platform, and developed CLI for API robustness test generation, increasing developer self-testing rates by 20%.

• Conducted extensive image data collection, pre-processing and dataset generation with Pandas and OpenCV in Python; created consistent data flow for 5 computer vision Machine Learning Models.
• Utilized TensorFlow and PyTorch to finetune and evaluate 2 Semantic Segmentation and 3 Object Detection models on Linux; achieved 94.4% accuracy with YOLO Algorithm.
• Continuously monitored model performance, implemented batch processing in real-world environment for real-time object detection, which improved response time by 15%.

• Open Source (github.com/baggiiiie): maintainer of jjui (2K stars), the most popular TUI for jj-vcs.
• SaaS: created simple-cv.app, an resume building website, reached 200 monthly active users.
• Writings: writing technical blogs at yingchao.dev/blog, covering topics like evals and building a research agent.