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
Cloud Software Engineer
Ubiquiti • Aug 2024 - Present
- • Implemented and operated high-scale Single Sign-On service (millions of users, 1K–10K RPS workload) on AWS, ensuring secure identity management across global products.
- • Collaborated with product teams to map security & SSO capabilities into direct business value, enabling faster customer onboarding and reducing account-related 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 new AI-driven advertising platform (8ndpoint.com), integrating generative personalization features to increase campaign engagement.
- • Led migration of core services to hybrid-cloud environments (GCP: GKE, Cloud SQL, BigQuery, EC2, S3, VPC, Hosted: MinIO, Longhorn, Rancher, Orchestration: ArgoCD, Airflow), designing scalable IAM and network structures.
- • Partnered closely with product managers to translate AI/ML features into customer-facing benefits, improving campaign ROI for enterprise clients.
Director of Machine Learning
MoBagel • Jun 2018 - Sep 2021
- • Lead an algorithm/architecture team, and a web team of size 8~11 to build products. Innovate and productize world class AutoML and Auto Time Series products.
- • Build QA, DevOps Team, Web, and ML team. Design the entire software development and release process during various company stages.
- • Setup OKR, company tech roadmap, HRD plan, recruiting plan. Tirelessly align company objectives and employees personal growth to cultivate a positive working environment.
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
Named Data Networking implementation on Intel Galileo platform
+1 more features
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.