Building systems that scale from concept to production

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Senior engineer with 5+ years of experience architecting and building robust systems across the entire stack. I specialize in the intersection of high-performance systems engineering and production-grade machine learning, with expertise spanning distributed systems, scalable infrastructure, and end-to-end ML platforms.

My technical approach emphasizes clean architecture, performance optimization, and maintainable code across multiple domains. I leverage Rust for systems programming, Go for concurrent services, TypeScript for web applications, and Python for data-intensive workloads and machine learning.

Beyond production systems, I maintain a deep interest in programming language design and compiler construction—pursuits that continuously refine my understanding of computational fundamentals and system design principles.

Systems & Languages rust, go, typescript, python, java

Machine Learning & AI pytorch, tensorflow, mlops, data pipelines, model serving

Backend Architecture distributed systems, microservices, api design, postgresql, mongodb

Platform & Infrastructure aws, kubernetes, docker, terraform, ci/cd

• Systems Architecture: Designing high-throughput, low-latency systems in Rust and Go
• ML Infrastructure: Building scalable ML platforms with robust MLOps practices
• Performance Engineering: Optimizing distributed training and inference pipelines
• Technical Leadership: Mentoring engineers and establishing engineering excellence standards

"Complexity should be abstracted, not ignored. Performance should be measured, not assumed. Code should be readable, not clever."