About Tony Loehr

DevSecOps, AI/ML, and hardware/firmware engineer helping teams ship secure, scalable systems—fast. I work at the intersection of software, security, data/ML, and embedded/hard‑tech, with a strong focus on ROI and operational simplicity.

Samples of my work available under resources.

I’m available for consulting, fractional CTO, advisory, and speaking.
👉 Hire me: Consulting & Pricing

Developer Relations & Community

I lead a 5,000+ developer community in San Francisco, running meetups, hack nights, and hands‑on workshops. My DevRel work focuses on:

  • Education & Enablement: live workshops, lab guides, code samples, reference architectures, and demo apps that shorten time‑to‑first‑success.
  • Content & Docs: technical blogs, quickstarts, SDK examples, and integration guides aligned to real developer workflows.
  • Programs & Partnerships: shaping event series, co‑marketing with ecosystem partners, and community feedback loops for product roadmaps.
  • On‑the‑ground advocacy: authentic, technical conversations that build trust—then convert into usage, contributions, and retained community health.

If you’re hiring for Developer Advocacy / DevRel, I can stand up programs from zero, grow meetups, or serve as a fractional lead while coaching internal champions.

What I’m best at

  • DevSecOps & Platform Engineering — secure CI/CD, IaC, Kubernetes, SBOM/SCA, supply‑chain hardening.
  • Applied AI/ML — edge/real‑time inference, MLOps, retrieval/telemetry pipelines, multi‑agent systems.
  • Financial Markets AI — signal research tooling, execution telemetry, crypto/equities data ingestion, model deployment at scale.
  • Supply‑Chain & Industrial Data — IoT telemetry fusion, predictive maintenance, traceability, cost & risk modeling.
  • Software Engineering — backend APIs, distributed systems, reliability under load.
  • Hardware/Firmware & Robotics — ESP32/embedded Linux, micro‑electronics, rapid prototyping, lab‑to‑field handoff.

Economics‑trained. I hold a B.A. in Economics and routinely translate technical choices into business outcomes—TCO, payback, unit economics, and build‑vs‑buy.

Frontier Makerspace

I run Frontier Makerspace—a hands‑on workshop inside Frontier Tower in downtown San Francisco dedicated to frontier technologies. The makerspace supports laser cutters, CNC, wood‑ and micro‑electronics benches, and 3D printers for rapid hardware iteration alongside software and AI teams.

Frontier Tower hosts floors for AI & autonomous systems, robotics/hard tech, a co‑working library, and more—designed to cross‑pollinate deep‑tech communities building the next wave.

Learn more: frontiertower.io.

Recent focus areas

  • Standing up secure CI/CD with policy‑as‑code and signed artifacts (SLSA‑aligned).
  • Building real‑time AI data paths (streaming ingestion → features → inference → feedback).
  • Prototyping embedded/robotics systems that bridge hardware, firmware, and cloud.
  • Turning ambiguous ideas into scoped sprints with measurable milestones and docs.

Selected skills & tools

Cloud/Platform: AWS, GCP, Terraform, Docker, Kubernetes, Argo/GitHub Actions
Security/DevSecOps: SBOM (CycloneDX), SLSA, OPA/Conftest, Vault/KMS, secrets mgmt
Data/ML: Python, PyTorch, ONNX/edge inference, vector/RAG pipelines, dbt, Kafka
Backend: Go, Python, Node/TypeScript; Postgres/Timeseries; gRPC/REST; observability
Embedded/Robotics: ESP32, STM32, embedded Linux, C/C++, micro‑electronics, 3D CAD/print
Finance & Supply Chain: market data ingestion, execution telemetry, risk/cost modeling
DevRel/Advocacy: technical writing, demos, workshop design, community programs, speaking

How I work

  • Scope fast. Narrow the problem, align on outcomes, define “done.”
  • Ship safely. Security‑first defaults, reproducible builds, clear runbooks.
  • Transfer knowledge. Clean docs, demos, and handoffs so teams move independently.

Get in touch