⚡ Designing scalable pipelines • Automating data workflows • Powering AI & Analytics
I am a Data Engineer building scalable data pipelines, analytics platforms, and AI solutions that drive decision-making across renewable energy, SMB, and public health domains.
My work bridges complex data with real-world impact:
- Developing production-ready platforms using Spark, dbt, and Dagster
- Building analytics pipelines for EV products and battery energy storage systems
- Modeling infectious disease transmission to inform public health policy
I specialize in transforming raw data into actionable insights through robust engineering practices and modern data stack technologies.
- 🚀 Building production-ready data platforms with Spark, dbt, Dagster, Superset, and Streamlit, integrating analytics and Generative AI
- 🌏 Simulating infectious disease transmission across Pacific Island travel networks to inform public health decisions
- 📦 Developing modular data pipelines for real-time vector search, RAG (Retrieval-Augmented Generation), and automated reporting
- 🧠 Experimenting with lightweight LLMs (Mistral, Ollama) to create domain-specific assistants with secure local inference
- 📊 Designing dashboards and analytics pipelines to analyze EV product data, sales conversions, and model configuration preferences
Thanks for stopping by! ⭐ Feel free to explore my projects and reach out.
📝 Last updated: June 2024