DevOps engineer and systems developer passionate about building high-availability CI/CD infrastructure, automating systems at scale, and delivering reliable backend software. Proven ability to optimize build pipelines, containerize complex legacy systems, and deliver business continuity under failure scenarios.
📍 MS in Computer Science @ UC Davis 🎯 Focus: Infrastructure Automation · Distributed Systems · Applied Security
Jun 2024 – Aug 2024
- Migrated unstable Jenkins monolith into Docker-based micro CI/CD architecture, eliminating proxy failures and dependency hell (6 conflicting Python versions)
- Reduced pipeline build time by 35% with containerized agents and intelligent load balancing
- Enabled disaster recovery in 24h after full RAID controller failure—previous estimate: 2 weeks
- Parallelized legacy automation scripts using ThreadPoolExecutor and Bash concurrency, cutting runtime by 83%
- Authored end-to-end infrastructure docs, cutting DevOps onboarding time by 60%
Jun 2023 – Aug 2023
- Deployed Proxmox VE cluster on reused hardware, saving ¥50,000+ in CAPEX
- Designed Docker Compose environments with GitLab, Ollama AI, Nginx, and secure firewalls
- Built bidirectional GitHub-GitLab sync via CI pipelines, reducing merge delay by 75%
- Hardened internal network, enabling successful ISO 27001 audit
Jun 2022 – Aug 2022
- Automated VM provisioning with Ansible, slashing deployment time by 94%
- Deployed Splunk with custom dashboards, cutting MTTR by 40%
- Developed standardized VM templates, reducing support tickets by 65%
🔬 GFW Censorship Research · Master's Thesis
- Analyzed DNS filtering patterns across 10k+ domains using custom distributed probing infrastructure
- Captured 500GB+ traffic via Docker-deployed sensors across regions, preserving integrity under detection
- Mapped critical censorship nodes and explored sociopolitical implications of filtering
- Full-stack platform to visualize and filter 5k+ vehicle records using Node.js + MongoDB + D3.js
- Reduced query latency by 90% with MongoDB optimization + Redis caching
- Native SwiftUI app with CoreML-powered playlist recommendations (85% relevance)
- CI/CD via GitHub Actions with 90%+ unit test coverage
- Chrome extension using Python + scikit-learn backend; 92% detection accuracy on test corpus
- 5x faster inference pipeline with secure, real-time backend communication
- Delivered admissions info to 1,000+ daily active users
- Tracked analytics and engagement, increasing international applications by 24%
University of California, Davis MS in Computer Science · GPA: 3.6 · Sep 2023 – Jun 2025 Key Areas: Machine Learning · Operating Systems · Network Architecture
Truman State University BS in Computer Science · GPA: 3.64 · Aug 2020 – May 2023 Full Presidential Honorary Scholar · Dean’s List every semester
Last updated: May 2025