Aryan Satam

I am an AI and machine learning engineer who blends deep technical expertise with practical product and business sensibilities. I build end-to-end systems — from IoT sensor pipelines to computer-vision models — that solve real-world problems in healthcare, finance, and supply chain.

My work includes engineering automated deep-learning pipelines using CNNs and YOLOv5, training models on high-performance GPU clusters, and architecting unsupervised anomaly-detection systems with Isolation Forest. I have shipped interactive Streamlit dashboards, integrated generative AI for explainability, and developed clinical-grade IoT healthcare wearables.

I value clarity, reproducibility, and impact: I communicate technical ideas to non-technical audiences, mentor learners, and publish research that advances applied ML in healthcare and edge computing. I seek roles where I can apply research-grade methods to deliver scalable products and measurable business outcomes.