Software and machine learning engineer building reliable data and ML systems, developer tools, and infrastructure.
Website · Writing · Resume · LinkedIn · Email
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Jobman — A job execution platform with daemonless local operation and an optional shared control plane. The platform includes Jobman Control for PostgreSQL-backed coordination and Jobman Diagnose for deterministic and AI-assisted failure analysis. Documentation · Technical articles
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benchmatrix — A Python toolkit for reproducible benchmark matrices, repeated measurements, statistical comparisons, and performance-regression checks. Documentation · Technical deep dive
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Python Project Foundry — An opinionated generator for production-ready Python package repositories with testing, documentation, packaging, containers, security checks, CI, and release automation. Documentation · Case study
- Data and ML systems: Data pipelines, model workflows, evaluation systems, batch and stream processing, Spark, Airflow, Apache Iceberg, PostgreSQL, SQL, and AWS
- Software engineering: Python, Go, API design, typed interfaces, automated testing, packaging, performance engineering, and CI/CD
- ML engineering and applied statistics: LLM applications, RAG, LoRA fine-tuning, model serving and evaluation, time-series and Bayesian analysis, classification, clustering, search and matching, and model explanation
- Platforms and developer tools: Distributed job execution, containerization with Docker, infrastructure as code and automation, Linux, observability, authentication, release automation, and reproducible development workflows
I’m interested in software engineering and ML/AI engineering roles, particularly work involving data systems, platforms, and developer infrastructure.