G

Gabrielle Prabhu

About

Detail

GenAI & ML Engineer. Building Scalable LLM Workflows for Healthcare & Ops Automation. AWS Certified.
Dallas, Texas, United States
Contact Gabrielle regarding: 
work
Full-time jobs

Timeline

work
Job
school
Education

Résumé

Jobs verified_user 0% verified
  • M
    Forward Deployed Engineer
    MU Health
    Jan 2026 - Current (10 months)
    ●Diagnosing gaps across Revenue Cycle workflows and translated complex challenges into technical automation and AI solutions. ●Building RPA bots, API pipelines, and AI microservices end-to-end from architecture and data modeling to testing and production tuning. ●Delivering scalable, reliable systems that streamline multi-step payer workflows, accelerate approvals, and drive measurable operational impact.
  • (WiMLDS) Women in Machine Learning & Data Science
    Member
    (WiMLDS) Women in Machine Learning & Data Science
    Jan 2024 - Current (2 years 10 months)
  • A
    Artificial Intelligence Engineer
    Sep 2025 - Dec 2025 (4 months)
    ●Designed and developed AI-powered pipelines to automate complex data workflows. ●Built and integrated AI models and services to streamline decision-making and data processing at scale.
  • Q
    Automation Engineer
    Qbotix
    May 2025 - Jul 2025 (3 months)
    ●Supported the build-out of payer automation by developing RPA components and API-driven workflows for medical insurance processes. ●Integrated data sources, payer endpoints, and internal systems to enable multi-step decisioning and reduce manual operational load. ●Enhanced the automation layer by contributing reusable modules, connectors, and workflow logic that improved overall efficiency and reliability.
  • M
    Forward Deployed Engineer
    MoolAI
    Dec 2024 - Dec 2025 (1 year 1 month)
    ●Architected and developed FastAPI-based microservices powering distributed AI workflows for multi-API data orchestration. ●Built automated pipelines integrating diverse AI models and data sources, enabling seamless inference and real-time aggregation. ●Deployed and scaled containerized AI services on Azure VM clusters, ensuring high reliability, performance, and production readiness.
  • University of Dayton
    Technical Support Representative
    University of Dayton
    Jun 2023 - Jan 2025 (1 year 8 months)
    Diagnosed and resolved software and hardware issues, including data-related problems, improving system performance and reliability while collaborating with IT teams to optimize data workflows.
  • Qube Cinema
    Software Developer
    Qube Cinema
    Jan 2023 - Dec 2023 (1 year)
Education verified_user 0% verified
  • University of Dayton
    master, Masters, Computer Science
    University of Dayton
    Jan 2023 - Jan 2024 (1 year 1 month)
  • SRM IST Chennai
    bachelor, Bachelor of Technology - BTech, Computer Science
    SRM IST Chennai
    Jan 2018 - Jan 2022 (4 years 1 month)
This is a community-created genome.