Senior machine learning engineer. ML platform, infrastructure, and agentic LLM systems.
Previously at Adobe, shipping containerized ML pipelines that served tens of millions of predictions. Now independent, building agentic LLM systems and the infrastructure under them.
- ML platform: training and serving pipelines, Airflow, MLflow, Feast, Spark, Databricks, Docker, Kubernetes
- Infrastructure: AWS, Cloudflare (Workers, R2, D1, Zero Trust), Terraform, CI/CD, GitHub Actions
- LLM & agents: agentic workflows, LLM coding agents, MCP, Claude Code (skills, subagents, hooks)
- Modeling: recommender systems, churn and activation modeling, XGBoost, scikit-learn, TensorFlow
- Experimentation: A/B testing, conjoint analysis, causal analysis, anomaly detection, metric design
- Languages: Python, SQL, TypeScript
Owner and maintainer of Katoptra — free, public mirrors of open-source software archives.
Open to senior ML infrastructure and platform roles — ijosh.com for contact.