I'm an engineer who likes to go deep into the systems that underpin modern infrastructure-and build from there. I spend a lot of time with Linux, networking, eBPF, distributed systems, and runtimes, exploring how things work at the lowest levels and turning that understanding into practical infrastructure.
Today, I build the platforms, feedback loops, and reliability systems behind critical financial and utility services at scale-systems used by 13M+ customers and processing billions of dollars in transactions. I work across cloud infrastructure, Kubernetes, data platforms, observability, security, and automation, with a particular focus on making complex systems reliable, measurable, and resilient.
I'm currently going deeper into Distributed Systems, Kubernetes, Linux, networking, and AI infrastructure, and I'm always interested in working with people building ambitious systems where the infrastructure itself is part of the product. If you build serious infrastructure in fintech, platform engineering, or trading-adjacent systems, we should talk.
Capabilities
- reliability engineering: SLOs, SLIs, error budgets, observability, tracing, capacity planning, incident response
- platform engineering: Kubernetes, AWS, Terraform, reusable infrastructure, developer platforms
- distributed & data systems: Neo4j, Kafka, Redis, Airflow, Redshift, event-driven systems
- systems & networking: Linux, networking, eBPF, containers, runtimes, performance and latency analysis
- high-trust infrastructure: financial systems, regulated platforms, security, resilience, and policy automation
Interests
- distributed systems
- observability
- reliability
- chaos engineering
- low-level linux
- kubernetes internals
- event-driven design
- trading infrastructure
- high-trust finance
- infrastructure as code