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About / Abhimanyu Selvan
Builder first.
I’ve worked on flight simulation, industrial robotics, medical IoT, Kubernetes platforms, and developer infrastructure. I now design, build, and run production AI systems across cloud and on-prem infrastructure, including voice AI systems and developer tools.
The through-line
Systems where failure matters.
I started with Boeing 787 flight simulation at Lockheed Martin, then industrial robotics at Oceaneering, medical IoT at Onera Health, Kubernetes platforms at Red Kubes, and developer ecosystems at DigitalOcean.
The domains changed; the engineering discipline did not. Read the system end to end. Make trade-offs explicit. Instrument the risky parts. Ship in small reversible steps. Let the numbers say whether it worked.
That is the mindset I now bring to agent orchestration, real-time voice, distributed AI systems, and developer tools.
Experience / selected
Regulated and distributed systems.
Operating principles
01
Test the critical path
Tests, observability, deployment paths, and representative workloads show whether the system meets its requirements.
02
Constraints create clarity
Every dependency, model call, service boundary, and operational surface should earn its place in the system.
03
Stay for production
Production exposes latency, cost, failures, and operator workload. I stay through deployment and iteration.