LearnCard production platform
Active engineering lead for a large open-source monorepo powering credential and lifelong learning products.
Taylor Beeston
Platform Engineering Leader · Linux/Cloud Systems · Automation · Performance
Hands-on engineering leader with 5.5+ years shipping and operating production systems. Focused on distributed-system problem solving, Linux-based workflows, cloud hosting concepts, automation, observability, performance tuning, documentation, and cross-functional ownership.
Location: Lake Stevens, Washington (remote)
Email: beeston.taylor@gmail.com
Website: taylorbeeston.dev
LinkedIn: linkedin.com/in/taylor-beeston
GitHub: github.com/TaylorBeeston
Platform-aligned strengths
Linux + cloud operationsLinux-based debugging workflows, cloud-hosted systems, deployment reliability, remote operations
Distributed systems + storage conceptsData-backed production systems, object/block storage concepts, caching, queues, bottleneck analysis
Automation + scriptingTypeScript/Node, Python/Bash-style automation, CI/CD, internal tooling, repeatable workflows
Observability + collaborationMetrics-minded debugging, technical docs/runbooks, async communication, team leadership
Experience
Learning Economy Foundation
- Lead hands-on engineering for LearnCard, an open-source platform, across TypeScript/Node, React/Vite, Redis, MongoDB, Neo4j, AWS Lambda, CI/CD, and Rust-based SSI/DID tooling.
- Promoted to VP of Engineering after growing into technical leadership while continuing to debug production issues, ship code, improve developer experience, and mentor 4–6 engineers.
- Helped move a Meteor monolith toward modular frontend/backend systems, improving operational clarity and cutting CI deployment time by roughly 75%.
- Delivered major performance improvements: reduced a 3+ minute production query to under 5 seconds and improved initial load performance from ~15 seconds to a few hundred milliseconds.
- Built internal platform services and automation, including a translations microservice that reduced recurring spend from $500+/month to effectively negligible cost.
- Developed reusable monorepo tooling, packaging workflows, and documentation that improved code reuse, build speed, onboarding, and day-to-day shipping velocity.
Platform + operations fit
- Stability, scalability, performance, cost: repeated track record making production systems faster, cheaper, easier to deploy, and easier for teams to reason about.
- Automation: strong internal tooling and CI/CD experience; comfortable turning repeated operational work into maintainable scripts, services, and docs.
- Reliability: metrics-minded debugger with production performance wins; interested in storage observability, Linux internals, and cloud platform reliability.
Selected relevant work
Performance + platform modernization
Faster deploys, faster builds, major query improvements, reduced infrastructure spend, and clearer workflows.
Rust SSI / DIDKit forks
Hands-on work with Rust-based decentralized identity tooling used inside the LearnCard ecosystem.
Automation + AI workflows
Built practical automation and agent workflows with a bias toward reliability and working systems over demos.
Education
Liberty University · Web Development Certificate
4.0 GPA · Built a full e-commerce web app from scratch
Jan 2019 – Aug 2019
Professional development focus: storage operations, Linux storage, distributed storage observability, Kubernetes-adjacent infrastructure operations, and cloud platform reliability practices.