I'm an engineer who likes building things that live at the messy intersection of hardware, networks, and software β connected devices, the platforms that wrangle them at scale, and the AI layers that make their data useful. I care about clean abstractions, observable systems, and shipping work that holds up in the real world.
- π Currently building IoT applications at the edge β firmware, gateways, and the cloud services behind them
- π€ Exploring AI/ML for devices β LLMs, RAG pipelines, and on-device inference
- π± Going deeper on Kubernetes, Istio, and cloud-native patterns for fleet-scale workloads
- π― Open to collaborating on any open-source project β especially around IoT, observability, or developer tooling
- π¬ Ask me about IoT architecture, distributed systems, service meshes, or how to keep edge fleets sane
- β‘ Fun fact: I'm convinced most "AI" problems are actually data pipeline problems in disguise




