About

I’m a hands-on engineer based in the Dallas–Fort Worth area with over a decade of professional experience who enjoys building software where latency, reliability, and user experience all matter.

My work tends to land where systems get critical: streaming data, observability, and AI features that need to behave like the rest of your platform.

Most of what I build sits at the intersection of:

• Streaming & data infrastructure: CDC, event pipelines, schema evolution, stateful processing
• Observability & systems tooling: turning telemetry into tools people actually use
• Productionized AI: agentic workflows, retrieval, evaluation, and guardrails

I build primarily in Rust, Go, and Python, and I enjoy taking projects from whiteboard to shipped systems.

What I care about

• Designing for failure: backpressure, retries, idempotency, schema evolution, and safe rollouts
• Clear interfaces: boring, well-documented APIs and tooling that helps teams move faster
• Measurable outcomes: performance, cost, reliability, and time-to-debug improvements

A few highlights

• Apache Arrow / Avro: helped ship arrow-avro, a vectorized bridge between Apache Avro and Apache Arrow for Rust, and wrote the announcement post.
• Streaming systems: built high-throughput gRPC/QUIC/Kafka components and CDC-friendly sinks designed for predictable performance and operational simplicity.
• Developer experience: shipped internal frameworks and open-source tooling that make it easier to build and operate streaming applications without reinventing the same concurrency and plumbing.
• Practical AI tooling: built platform primitives for secure, reliable agentic AI (LangGraph orchestration, knowledge graphs, GraphRAG, evaluation).

Stack

• Languages: Rust, Go, Python, SQL
• Streaming: Kafka, NATS, Pulsar
• Processing: Flink, Spark, Arrow, DataFusion
• Storage: Postgres, ClickHouse, Databricks
• Communication: gRPC, REST, IPC
• Infrastructure: AWS, GCP, Azure, eBPF

Connect

• GitHub
• LinkedIn
• Email
• Writing