Kenny Lin

Master of Science in Computer Science (Concurrent B.S./M.S.)

Bachelor of Science in Computer Science (GPA: 4.0)

• - Incoming intern on Verkada's Workplace team.

• - Built Backstage self-service flows that bind platform capabilities to services through a platform.yaml contract.
• - Worked across GitLab, Helm, and Terraform provisioning paths for internal infrastructure and network observability workflows.
• - Added GitLab CI validation for platform.yaml changes so invalid capability metadata is caught before merge.

• - Built a research data platform UI and npm SDK with SvelteKit, Cloudflare Workers, and TypeScript.
• - Implemented an AWS Lambda and HonoJS pipeline for coding trace processing and redaction.
• - Managed Terraform across 6 AWS accounts and reduced NAT gateway costs by 74%.

• - Automated customer order validation and fulfillment with Python batch processing and AWS SQS, increasing speed by 300%.
• - Built concurrent worker pipeline processing 20+ batches in parallel, cutting runtime from 4 hours to 10 minutes.
• - Designed GraphQL endpoints and integrated AWS SQS, S3, and CloudWatch for real-time batch monitoring.

• - Reworked the iCAN backend into service and repository layers with Zod request schemas for medication flows.
• - Built medication schedule logic, streak rewards, pet state updates, and notification paths for child and parent workflows.
• - Wired React views through TanStack Query hooks so mutations, invalidation, and onboarding state stayed consistent.

• - Developed a near real-time system to identify and triangulate wireless users in signal-dense environments.
• - Applied transfer learning to Co-DETR models with PyTorch and scikit-learn, achieving 85% detection accuracy.