Benjamin Shyong
Staff TPM at Meta ex-Apple . Day job shipping consumer hardware. Off the clock I build AI infrastructure for the agentic web.
Operator
- 10 years NPI at Apple + Meta
- 9 factory cities across Asia + LatAm
- Large xFN teams — mechanical, electrical, firmware, supply chain, ops
- Aligned toward long-term ship dates
Builder
- Full-stack AI builds — A2A, MCP, fine-tuned LLMs
- 3× hackathon 1st place + 1× top 6 finalist
- Multi-agent fleet on Mac Studio + Mini + DGX Spark
- Five-property STR brand on software I write
Day job
Staff TPM, AR Glasses
Manufacturing program owner for Meta's next-gen AR glasses. Cross-functional lead across design, engineering, supply chain, and factory ops — prototype through mass production. Brought up new vendors and stood up new manufacturing processes.
Operations & Quality — iPad Pro, Health Tech Special Project, iPhone Accessory Softgoods
Operations lead for two iPad Pro ramps from prototype to mass production (10.5″ in 2017, 12.9″ in 2018). Pulled into an Apple Special Project to bring up a new contract manufacturer for Health Tech. Moved to softgoods — iPhone Leather Sleeve, Wallet, and AirTag accessories — running ops + quality and bringing up a second-site factory in Thailand.
Supply Chain & Operations — Cleveland · Torreon · Shanghai
Six and a half years across Cleveland, Torreon, and Shanghai: Engineering Operations Trainee → Sr Buyer → Operations Planning Team Lead (Torreon, Mexico) → Asia Pacific Strategic Assignment (Shanghai). Directed pull-system ERP rollout across five China facilities — net inventory down 31% in seven months.
Off the clock
all projects →Agentic operating system for luxury hospitality. Live A2A handoff between two real machines (Threadkeeper on Vercel ↔ elias on a Mac mini via Cloudflare tunnel), real Claude on each side.
Multiplayer MCP-native agent that replaces the back office for short-term rental operations. Multiple AI clients share one durable backend.
Custom PMS running five short-term rentals as one brand — two-tier reservation handling, AI guest-comms, FAQ matcher, nightly deploys.
Manufacturing execution system for autonomous agents. OpenAI's 7-stage AI-Native Engineering Workflow as a bipartite state machine — agents do throughput work, humans own the judgment gates.
Hackathon wins
all hackathons →Red Thread
first placeFirst place. Built Red Thread — a hospitality concierge concept rooted in Rosewood's "Sense of Place" thesis. Brand + craft were part of the build, not bolted on after.
LoopOS
top 6 finalistTop 6 finalist. Built LoopOS — a multiplayer MCP-native agent that replaces the back office for short-term rental operations.
Data-OnCall
first placeFirst place. 4-agent incident response team for data quality bugs — fine-tuned Llama 3.1 + LoRA for NL→GraphQL, end-to-end in 54.8s at ~2¢/run.
Injester
first placeFirst place. Built the earliest Injester prototype — agent-to-merchant commerce infrastructure. Demoed at NVIDIA GTC the following Tuesday.
About
I love timed intensity — pick a toolset, bound the problem, race toward the finish line with everyone in the room heads-down. Hackathons are the closest vehicle I've found to chase that energy. Outside hackathons I run cross-functional ramps, operate short-term rentals, and enjoy breaking down complex systems to understand exactly how they work. Satisfaction comes from making them work better.
Systems Industrial Engineering, Purdue '08.