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.

Mahdi Eghbali

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.

Available to hire

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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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI / ML Solutions Engineer at Flowntro
May 1, 2017 - Present
Delivered end-to-end AI and ML solutions for startups and large enterprises across fintech, e-commerce, and healthcare. Led projects spanning computer vision, CAD systems, and modern AI technologies including LLMs and retrieval-augmented generation (RAG). Built impactful, real-world AI applications solving complex problems and driving innovation.
Senior Software Engineer at Fanatics
January 1, 2022 - July 1, 2025
Orchestrated Real-Time Commerce Engine in Node.js for post-championship drops and player-trade merchandise launches. Integrated .NET services with Kafka-based event streams for reliable processing during traffic spikes. Improved fulfillment accuracy via inventory synchronization and designed GraphQL schemas for real-time availability; implemented Snowflake data lake integration for personalized recommendations.
Software Engineer at Parkland
March 1, 2018 - December 1, 2021
Architected a React/Node.js platform powering multi-service mobility operations (refueling, EV charging, retail) with 24/7 real-time fleet access. Built React Native tools for fleet management, enhancing tracking and reducing logistics costs; implemented HIPAA-compliant Python-based microservices for AI inference and healthcare automation.
Assistant Professor of Finance at University of Puget Sound
June 1, 2025 - Present
Teaching and research in finance, with ongoing involvement in data science and ML projects related to entrepreneurship and digital transformation.
Postdoctoral Research Scholar at Arizona State University (W. P. Carey School of Business)
August 1, 2022 - June 1, 2025
Conducting research in AI, blockchain, digital transformation, and entrepreneurial finance; collaborating across disciplines to integrate AI and blockchain technologies; contributing to scholarly publications and technical forums.
Research Associate at Mayo Clinic and ASU MedTech Accelerator
January 1, 2023 - October 1, 2024
Modeled fund risk analytics (risk, liquidity, econometric models) to support oversight, portfolio construction, and decision-making for emerging medtech startups; applied causal inference and A/B testing methodologies for product outcomes.

Education

Postdoctoral Research Scholar at Arizona State University
August 1, 2022 - June 1, 2025
Visiting Scholar, Entrepreneurship & Finance at MIT Sloan School of Management
January 1, 2021 - January 1, 2022
Ph.D. Economics at The University of Iowa
January 11, 2030 - August 1, 2022
M.A. Economics at The University of Iowa
January 11, 2030 - December 1, 2017
M.Sc. Mathematics at The University of Nebraska Omaha
January 11, 2030 - August 1, 2016
M.Sc. Economics at The University of Nebraska Omaha
January 11, 2030 - May 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Retail, Transportation & Logistics