Blog
Technical deep-dives on distributed RL, agentic AI, and systems engineering.
When AI Has No Time to Think: Deploying Models Under Extreme Latency
Policy distillation and model compression techniques for deploying RL agents on baseband hardware with sub-millisecond inference budgets.
Read post →2026-05-047 min
State Machines for Structured Computation with Pydantic Graph
Modeling algorithms as explicit state machines over graphs instead of implicit control flow — using the Collatz sequence as a minimal example with pydantic-graph.
Read post →2026-04-305 min
From Intents to Actions: How Agentic AI Transforms Network Operations
How we combined LLM reasoning with reinforcement learning to build autonomous systems that translate high-level network intents into real-time control actions.
Read post →2025-02-1010 min
Interested in the systems behind the ideas?
These posts connect research concepts to production AI systems, reinforcement learning infrastructure, and autonomous network design.
