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."
Solving complex problems with elegant systems