VP of Engineering focused on Platform Engineering, Cloud Infrastructure, Developer Experience, Performance and Reliability.
I build and scale organizations and platforms that reduce cognitive load, improve deployment velocity, and make systems observable and cost-efficient — from developer workflows to production runtime.
- 💼 VP of Engineering @ Parasail (AI inference)
- 🧠 Interests: AI, platform engineering, performance engineering, distributed systems, observability, DX
- 📫 Contact: hello@martinspier.io
- 🔗 LinkedIn: https://linkedin.com/in/martinspier
- 📄 Resume: https://github.com/spiermar/resume.md
- 🌐 Site: https://martinspier.io
- Building AI & cloud infrastructure platforms that help teams ship faster with higher reliability
- Creating agent-driven development workflows (custom skills, autonomous agent, dev environments)
- Exploring local LLM deployments for privacy-focused AI assistance
- Building general purpose AI agents for productivity workflows
- Staying hands-on with profiling / flame graphs / performance analysis tooling
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🔥 FlameScope — visualize flame graphs across time ranges
https://github.com/Netflix/flamescope -
📈 d3-flame-graph — flame graph visualization library (D3)
https://github.com/spiermar/d3-flame-graph -
🌡️ d3-heatmap2 — heatmap visualization library
https://github.com/spiermar/d3-heatmap2 -
📦 opencode-container — containerized development environment
https://github.com/spiermar/opencode-container
- AI & Agents: agent-driven development, local LLMs, autonomous workflows, skill engineering
- Platform Engineering: abstraction layers, golden paths, service ownership, operational readiness
- Developer Experience: reducing friction, internal platforms, paved roads, measurable productivity
- Reliability: SLOs, observability, incident learning loops, safe delivery
- Performance: profiling, flame graphs, tracing, workload-aware optimization
- Efficiency: cost visibility, unit economics, vendor strategy, practical FinOps
Last updated: Feb 2026