Hi, I’m Mahdi Eghbali, a Senior AI/ML Solutions Engineer with 8+ years of building production-grade AI and data science systems across healthcare, fintech, enterprise automation, and supply-chain domains. I’ve delivered business-critical platforms in high-traffic environments using React, Node.js, .NET, GraphQL, and cloud-native infrastructure, and I’m passionate about turning AI research into real-world impact that improves patient access, reduces financial risk, and enhances operational reliability.
I own the full ML lifecycle—from raw data ingestion to production inference—focusing on model evaluation, drift monitoring, explainability, and regulated AI deployments. I’ve built and deployed systems for classification, anomaly detection, time-series forecasting, NLP/LLMs, and retrieval-augmented generation (RAG) at scale, with hands-on experience across healthcare, fintech, and enterprise automation. I’m motivated by solving complex problems and driving data-driven decision making in collaborative, cross-functional teams.
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