Generative AI and audio generation models, exploring how AI can enable creators to edit and customize music
Machine Learning infrastructure, including large-scale data pipelines, model training optimization, and multi-GPU workflows
Data Engineering and the modern data stack, building scalable and cost-effective data platforms
Software Engineering best practices: testing, documentation, readable code, and observability
Machine Learning: PyTorch, Huggingface, scikit-learn, spaCy, OpenAI API
Data Engineering: BigQuery, dbt, Airflow, Snowplow, Dataflow
DevOps: Git, Docker, Github Actions, Terraform
Web Development: FastAPI, Jinja, htmx, TailwindCSS
Data Visualization: Looker, Streamlit, Gradio
Google Cloud Professional Data Engineer (2023)
AWS Solutions Architect - Associate (2021)
AWS Machine Learning - Specialty (2021)
Azure Architect Technologies / AZ-300 (2019)