Data Engineering
ETL pipelines, orchestration, analytics, and data quality.
I build intelligent data systems|
Data engineer and computer scientist building scalable pipelines, practical machine learning, and products that turn complex information into useful decisions. M.S. in Data Science from UC Berkeley.
My work spans production data workflows, cloud analytics, applied machine learning, and AI evaluation. I enjoy turning difficult technical problems into reliable, usable systems.
ETL pipelines, orchestration, analytics, and data quality.
Cloud-based processing, dashboards, and decision support.
Predictive modeling, computer vision, and model evaluation.
Automation, APIs, web applications, and developer tooling.
Convolutional neural network for classifying images across ten categories, achieving 70.34% test accuracy.
Arduino-based security prototype with Python event processing, notifications, and a Flask interface.
Research project exploring brain tumor detection using medical imaging and machine learning classifiers.
Interested in data engineering, AI, and ambitious software projects? Let's connect.
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