Lead Software Engineer · Aereo
Built services for live over-the-air television streaming, “10-foot” Smart TV products, release tools, CI/CD, and antenna and transcoder integrations.
VP Engineering and Cofounder · Principal-Level Software Engineer
Boston, Massachusetts github.com/spmurrayzzz linkedin.com/in/stephenpmurrayCofounded Starry and led its engineering organization while continuing hands-on work in distributed systems, network infrastructure, and applied ML. More than 20 years of software engineering experience.
Nationwide fixed-wireless internet service provider · Acquired by Verizon in Q1 2026
Built services for live over-the-air television streaming, “10-foot” Smart TV products, release tools, CI/CD, and antenna and transcoder integrations.
Built full-stack features for a consumer behavior and rewards platform.
Led development of web products and a custom in-house CMS used by Amazon, Asurion, and other clients.
Built software products, infrastructure, and web systems for a range of clients.
Performed and toured professionally while beginning a software career.
Built a local workspace to supervise concurrent coding-agent sessions. Reconciled live output with saved transcripts and added session editing and forks for reviewing and redirecting agent work.
Built a local app to trace AI agent sessions, showing model costs, tool calls, observations, and scores. Added a Go and SQLite store with an embeddable Node.js package for host applications.
Built a multi-GPU inference engine for MiniMax-M2.X GGUF models, with an OpenAI-compatible API for streaming and tool calls. Implemented SM120-specific CUDA kernels, parallel prefill, and exact-prefix KV reuse across agent turns.
Built a browser extension and a fine-tuned Clef 27B model that classify text as human, AI-assisted, mixed, or AI-generated. Added the corpus and training pipeline, and published a cleaned dataset of about 90,000 labeled rows.
Built a checkpoint engine that stores worktree snapshots in a separate Git object database without adding commits to the project’s history. Supports selective restore and asynchronous Node.js bindings.
AI agent design, tool integration, evaluations, trace analysis, local inference, CUDA optimization, context design, and training data for FIM and fine-tuning.
AWS, Linux, Docker, CI/CD, service architecture, event systems, observability, SLOs, incident response, and release engineering.
IPAM/DCIM, RADIUS, TR-069, SNMP, millimeter-wave RF, Wi-Fi, embedded Linux, hardware integration, and fleet operations.
JavaScript/TypeScript, Python, Rust, Go, C/C++/CUDA, SQL, MongoDB, Redis, Postgres, and MySQL.