Adil Hafeez

At Katanemo Labs, we asked a simple question: why is getting AI agents into production still so hard? Our answer was Plano — a framework-agnostic data plane that abstracts orchestration, observability, safety, and model routing so developers can focus on building, not plumbing. Alongside it, we built Arch-Router and Plano-Orchestrator to make multi-agent systems reliable and fast to deploy in the real world. Katanemo Labs has joined DigitalOcean. Now building the Inference Cloud — helping developers take agents from prototype to production at scale. If you're building agents in production, let's connect.

• Nov 2019 - May 2021: part of streaming team as tech lead, leading efforts to standardize ingestion of high volume events across Lyft while ensuring that durability is high and latency of events to end store is low • Oct 2018 - Nov 2019: Work on Lyft Server Networking team as tech lead focusing on service discovery, retry policy and traffic routing using envoy proxy and a custom management server that interacts with envoy xDS API • Oct 2016 - Oct 2018: Datastore team. Tech lead on multiple infra projects that helped growth of Lyft infra that managed storage, migrations of data and async processing.

Worked on Edgestore - a distributed key/value structured store

Working on s3 component that serves as distributed hash table for all of s3 objects

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