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Mahdi Eghbali

@mahdieghbali

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Senior AI/ML solutions engineer driving production-grade, regulated AI systems.

United States

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What I'm looking for

I seek roles building production ML/AI systems (LLMs, vision, forecasting) with clear impact, rigorous evaluation, and collaboration across research and product teams.

I am a Senior AI / Machine Learning Engineer with 8+ years designing, training, evaluating, and deploying production-grade AI and data science systems across healthcare, fintech, enterprise automation, and supply-chain platforms. I own the full ML lifecycle, improve model performance and inference latency, and operationalize classification, anomaly detection, time-series forecasting, NLP, and LLM-based systems at scale.

My work includes CAD and computer-vision systems, retrieval-augmented generation and LLM pipelines, and regulated AI deployments with explainability and drift monitoring. I have led projects that improved patient access, reduced financial risk, and increased operational reliability, while publishing and collaborating across academic and industry partnerships.

Experience

Work history, roles, and key accomplishments

Current

Assistant Professor of Finance

Current

University of Puget Sound

Jun 2025 - Present (6 months)

Appointed faculty teaching and researching at the intersection of finance and AI, contributing to curriculum development and interdisciplinary projects since 2025.

Research Teaching Data Analysis Econometrics AI in Finance Collaboration

Current

AI / ML Solutions Engineer

Current

Flowntro

May 2017 - Present (8 years 7 months)

Delivered end-to-end AI/ML solutions for startups and enterprises across fintech, healthcare, and e-commerce, building computer vision, CAD, and LLM/RAG systems that improved detection sensitivity and reduced inference latency for production deployments.

Python PyTorch TensorFlow Object Detection LLM RAG OpenCV CUDA

Postdoctoral Research Scholar

W. P. Carey School of Business – Arizona State University

Aug 2022 - Jun 2025 (2 years 10 months)

Conducted research in AI, blockchain, and entrepreneurial finance while contributing to data science and ML projects and publishing findings in academic forums from 2022 to 2025.

Research Econometrics Causal Inference Experimentation Data Science

Research Associate

Mayo Clinic

Jan 2023 - Oct 2024 (1 year 9 months)

Delivered fund risk analytics and econometric models to support oversight and portfolio construction for medtech startups, improving risk assessment and experiment design.

Risk Modeling Econometrics Causal Inference A B Testing Data & Analytics Experimentation

Education

Degrees, certifications, and relevant coursework

Arizona State University

Postdoctoral Research Scholar, Interdisciplinary AI and Finance

2022 - 2025

Activities and societies: Collaborated with interdisciplinary scholars, contributed to scholarly publications and conference presentations, and participated in data science projects.

Postdoctoral research scholar conducting research in AI, blockchain, digital transformation, and entrepreneurial finance and contributing to data science and ML projects.