Imad Longi

First technical hire at a $7B global manufacturing company, accountable for scaling a cross-functional technical team from 0 to 14 FTEs and 25 contractors. Directed technical rationalization of acquired entities, migrating 5 legacy systems into a unified Azure cloud ecosystem and reducing user onboarding setup time by 60%.

Scaled a cross-functional technical product team from 0 to 14 FTEs and 25 contractors and led technical rationalization of acquired entities by migrating 5 legacy systems into a unified Azure cloud ecosystem. Delivered an end-to-end Agile roadmap across data foundation, SDLC/QA automation, BI telemetry, workflow integration (reducing onboarding setup time by 60%), and AI-enabled artifact generatio

Served as Solution Owner for an enterprise healthcare payer platform, owning AI diagnostic triage logic that ingested medical imaging to classify acuity and urgency and integrating computer vision outputs to reduce preliminary radiologist review time by 40%. Led intake-to-billing integration strategy with REST API architecture and PHI-secure workflows, including automated authorization and claim s

Owned enterprise healthcare payer product development, including an AI clinical triage engine and patient intake-to-billing automation with REST API integrations to systems such as Salesforce Health Cloud and core EHRs. Integrated computer vision into clinical decision workflows, reducing preliminary radiologist review time by 40%, and improved workflow-driven automation for prior authorizations a

Built the integration layer and data controls supporting claims estimation and AI-driven repair automation for a SaaS platform in the automotive insurance ecosystem. Developed a governed Python SDK, implemented REST API security with tokenized authentication and rate limiting, and created automated testing plus Azure CI/CD with Terraform to reduce deployment risk.

Completed seven internships/research appointments focused on predictive clinical analytics, NLP, and healthcare interoperability, applying Responsible AI and HIPAA-aligned data protection to payer analytics and clinical process improvement. Owned HIPAA-compliant forecasting and document intelligence prototypes on Azure using Python (scikit-learn, spaCy), Azure Cognitive Services Text Analytics, an

Completed multiple internships and research appointments focused on predictive clinical analytics, NLP, and healthcare interoperability, serving as a solution owner for Responsible AI initiatives aligned to HIPAA-style protections. Built and deployed analytics and document intelligence prototypes, including forecasting solutions and OCR-based extraction routed to SharePoint for audit-ready process

Earned a Bachelor of Science in Industrial Engineering and Management Sciences from Northwestern University.

Completed a Managerial Analytics Certificate at Kellogg School of Management, Northwestern University.

Completed a Managerial Analytics certificate through Kellogg School of Management.

Completed seven internships and research appointments focused on predictive clinical analytics, NLP, and healthcare interoperability, applying Responsible AI and HIPAA-aligned data protection.