I build applied AI systems, cloud automation, and internal tools for real-world workflows.
Most of my work lives somewhere between software engineering, ML operations, and platform thinking. I like taking messy operational problems and turning them into systems that are easier to run, measure, and improve.
- Applied AI systems and LLM workflows
- Internal tools, dashboards, and workflow automation
- Production ML, MLOps, and LLMOps
- AWS infrastructure and serverless systems
- Data pipelines, event-driven architecture, and observability
- CI/CD, infrastructure as code, and developer productivity
Python • AWS • Terraform • Docker • GitHub Actions • Kafka • Snowflake • TypeScript • SQL
This GitHub is a mix of personal projects, experiments, learning repos, and technical notes. Some are polished. Some are just me working through an idea in public.