Schwannden Kuo
Software and System Architect
Professional Summary
Experienced software and system architect, with a demonstrated history of working in the data product industry and DevOps. Skilled in Python, Scala, and TypeScript. Held diverse roles from software engineers, data scientist, DevOps, to director. Loves cloud and open source. Excels in creatively solving complex issues and bridging R&D and business for product excellence.
Work Experience
Delegate SSO Team Lead
Ubiquiti • Aug 2025 - Present
- • Pioneered an AI-driven incident response system that automated ticket analysis to reduce reaction time by over 30%, while simultaneously accelerating engineering onboarding from 3 months to 1 month through automated context and real-time insights.
- • Architected and deployed a high-velocity Suspicious Behavior Detection module with zero downtime, establishing a scalable framework for identifying anomalous user patterns and enhancing platform security.
- • Led cross-functional integration for "Bring Your Own IdP", collaborating with product teams to resolve complex authentication and authorization flows and expand enterprise identity capabilities.
Cloud Software Engineer
Ubiquiti • Aug 2024 - Aug 2025
- • Velocity: Reduced feature lead time by 30% and accelerated security patching by 5x by revamping release lifecycles and automating consistency checks.
- • Resilience: Engineered high-availability DB architecture with strict R/W separation, eliminating production impact during RDS replica spikes.
- • Efficiency: Boosted engineering and support velocity by integrating AI-driven workflows to standardize documentation and speed up case resolution.
- • Operated a high-scale AWS SSO service (millions of users, 10K RPS) that aligned security architecture with business goals, accelerating customer onboarding and reducing support costs.
Senior Software Engineer
Dell • Jan 2023 - Ayg 2024
- • Modernized a legacy integration test platform into a cloud-native architecture (AWS & Kubernetes), reducing operational costs by 50% and accelerating product build time by 400%, directly improving time-to-market.
- • Advocated for developer-first practices by gathering feedback from engineering teams and influencing CI/CD adoption (GitHub Actions, Argo, Kustomize, Helm).
- • Established cloud security best practices (automated vulnerability scanning, SBOM, Trivy) to align engineering efficiency with enterprise compliance.
Senior Software Architect
MoBagel • Sep 2021 - Dec 2022
- • Architected the AI-driven advertising platform (8ndpoint.com), integrating generative personalization to drive campaign engagement. This technical success was instrumental in securing a strategic M&A acquisition, establishing the platform as the company's new core profit center.
- • Led the migration of core services to a hybrid-cloud environment, designing scalable IAM and network structures across GCP (GKE, Cloud SQL, BigQuery) and AWS (EC2, S3, VPC) utilizing orchestration tools like ArgoCD and Airflow.
- • Partnered with product leadership to translate complex AI/ML capabilities into customer-facing benefits, effectively bridging the gap between R&D innovation and enterprise campaign ROI.
Director of Machine Learning
MoBagel • Jun 2018 - Sep 2021
- • Secured Series A funding by architecting and launching Asia's first Auto Time Series product, which enabled major retail enterprises to optimize supply chain inventory through high-accuracy forecasting.
- • Pivotal in closing Pre-A funding and winning key international medical device accounts by re-engineering the general AutoML engine to improve runtime efficiency by ~3,000%, delivering substantial ROI via enhanced precision, recall, and stability.
- • Scaled the engineering organization by building QA, DevOps, Web, and Algorithm teams from the ground up. Established company-wide OKRs, technical roadmaps, and recruiting strategies, aligning individual employee growth with business objectives.
- • Accelerated feature rollout speed by 4x through a product restructuring that enabled an "inner-source" culture, allowing cross-functional teams to contribute directly to the core product codebase and distributed system architecture.
Senior Data Scientist
MoBagel • Jun 2017 - Jun 2018
- • Automated machine learning design and reactive machine learning architecture with Scala, Akka, Spark.
- • Design and implement the first generation AutoML system, achieve 300x speed up to secure key accounts.
Software Developer
University of Pittsburgh • Jun 2016 - Sep 2016
- • Integrate latest statistical methods in -omic study to build user friendly application for biostatisticians. Create open source project, to encourage open source collaboration and accelerate impact. Train researchers to maintain the project.
- • Publish paper on biostatistics (See publications).
Research Assistant
Academia Sinica • Jul 2014 - Jul 2015
- • Assist research in NDN network. Open sourced project (source code and book) to deploy NDN on Galileo. Featured in intel maker community.
Speaking Highlights
End‑to‑End AutoML in Practice (Decanter AI)
Practical AutoML pipeline design, speed/accuracy trade‑offs, and real‑world deployments
Audience: Industry practitioners and partners; workshop attracted hundreds of participants
AIoT and Data Analysis: Approaching Industrial AI
Key principles of 'ML Done Right' including speed/accuracy trade-offs, evaluation vs. implementation cost, human vs. machine decision-making, and real-world case studies
Audience: Industry practitioners, partners, academics
Statistical Machine Learning Workshop (Campus‑wide)
Intuitive approaches to high‑dimensional statistics for engineering students; emphasized how statistical thinking underpins modern AI/ML
Audience: Students
And 2 more speaking engagements...
Technical Skills
Cloud & DevOps
Languages & Frameworks
Data & ML
Publications & Writings
Explore my technical publications, speaking engagements, and thought leadership contributions spanning cloud native technologies, AI/ML, and DevOps.
View Speaking & PublicationsOpen Source Contributions
View all contributions →Research Tools
Community Projects
Educational documentation site for building autonomous AI agents using Claude
+1 more features
And 1 more community projects...
Active contributor to various open source projects in the cloud native, Python, and DevOps ecosystems.
Education & Volunteer Experience
Education
Master's Degree
National Chiao Tung University • 2017
- • Teaching Assistant for queueing theory, machine learning, and formal language
- • Organizer and Speaker for 2017 NCTU Statistical Machine Learning Workshop
Bachelor's Degree
National Chiao Tung University • 2015
Volunteer Experience
Teacher for Special Kids (陪讀老師)
樂服社區關懷協會 - 兒少據點 • Aug 2017 - Feb 2019
Help kids on their homework, but most importantly just being there and let them know someone does care and love them.