Software engineer and data scientist building large-scale data platforms, production analytics systems, and tools for research and engineering teams.
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My work has spanned data and ML infrastructure, applied modeling, distributed data processing, cloud architecture, and developer experience.
- Data and ML systems: Spark, Airflow, AWS data lakehouses, OLAP systems, stream processing, and model serving
- Software engineering: Python, SQL, Go, Bash, typed APIs, automated testing, packaging, and CI/CD
- Applied ML and statistics: time-series analysis, classification, clustering, search and matching, model explanation, and LLM applications
- Infrastructure and operations: Docker, Terraform, Ansible, Linux, REST APIs, and system automation
- Observability: Prometheus, Grafana, and CloudWatch