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Priya Sharma

Priya Sharma

Platform Engineer at Standard Compute

Priya designs the model routing layer — the system that decides which LLM handles your request and why. She spent four years at a large language model provider working on inference optimization and model serving before joining Standard Compute. Her work ensures that when you send a request to the API, it lands on the right model at the right time, balancing quality, speed, and cost without you having to think about it.

Previously optimized inference serving for models with 100B+ parameters. Background in operations research and combinatorial optimization. Holds a master's in computer science.

Areas of expertise

LLM inference optimizationModel routing and load balancingToken economics and cost modelingMulti-provider API orchestration

Recent articles

I looked into oauth openai for OpenClaw and the scary part isn’t what most people think
2026-06-09 · 5 min read · Engineering
My telegram bot not replying turned out to be a full disk, not a bad model
2026-06-09 · 8 min read · Engineering
I finally understood why always on agents wreck finance workflows when one bot can see every account
2026-06-08 · 9 min read · Guide
I kept tracking AI agent pricing by model and missed the Slack channel that was burning the budget
2026-05-26 · 9 min read · Guide
I read the r/openclaw Mac thread so you don’t waste $4k on the wrong LLM box
2026-05-26 · 8 min read · Guide
I think “remember this” is dead — agent memory needs branches, diffs, and rollback now
2026-05-23 · 10 min read · Guide
I finally get why every serious browser agent demo looks a little cursed
2026-05-21 · 9 min read · Guide
I think the real AI agent war is who owns your inbox, browser, and calendar
2026-05-20 · 9 min read · Guide
I went looking for flashy agents and found 5 boring automations people actually keep
2026-05-14 · 10 min read · Product
I read the 107-comment OpenClaw garlic thread and yeah, the real bug wasn’t garlic
2026-05-14 · 9 min read · Guide