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Brandon Duncanson

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Miami, Florida, United States

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Résumé


Jobs verified_user 0% verified
  • Veradigm
    Staff Machine Learning Engineer
    Veradigm
    May 2024 - Current (2 years 6 months)
    • Led development of production machine learning systems using Python, Azure OpenAI, FastAPI, and Docker to support healthcare operational workflows, document intelligence, and enterprise AI services.
    • Architected and deployed LLM applications using LangChain, RAG pipelines, embedding models, and vector search workflows to improve enterprise knowledge retrieval and context-aware response generation.
    • Enhanced enterprise semantic search and retrieval systems using Azure Cognitive Search, metadata filtering, and scalable search orchestration for regulated healthcare environments.
    • Built scalable backend services and inference APIs to support internal AI platforms, healthcare analytics workflows, and production deployment rel
  • O
    Senior Machine Learning Engineer
    Olive AI
    Jan 2021 - Apr 2024 (3 years 4 months)
    • Led deployment and scaling of production machine learning services supporting healthcare automation and enterprise operational workflows.
    • Designed distributed feature engineering and data processing workflows using PySpark and Apache Spark for large-scale healthcare datasets.
    • Architected NLP pipelines and document-processing systems using Hugging Face Transformers and cloud-based ML infrastructure for enterprise healthcare applications.
    • Built and maintained REST-based machine learning services using FastAPI to deliver real-time predictions and analytical capabilities across internal platforms.
    • Improved deployment consistency and monitoring reliability through standardized CI/CD workflows, model validation, and
  • O
    Machine Learning Engineer
    Olive AI
    Oct 2018 - Dec 2020 (2 years 3 months)
    • Built data preprocessing and transformation pipelines for healthcare analytics workflows using Python, SQL, and Pandas for claims, provider, and operational datasets.
    • Assisted with feature engineering, model training, and validation workflows supporting classification and predictive analytics initiatives.
    • Developed reusable reporting datasets and analytical pipelines to support operational performance tracking and healthcare workflow analysis.
    • Worked with structured and semi-structured healthcare datasets to improve data consistency, reporting accuracy, and downstream model reliability.
    • Automated recurring data preparation and reporting tasks using Python scripting and SQL optimization techniques.
    • Suppor
  • Kaseya
    Data Engineer
    Kaseya
    Apr 2014 - Sep 2018 (4 years 6 months)
    • Developed scalable ETL pipelines, data transformation workflows, and recurring analytical processing systems using Python, SQL, and enterprise reporting tools.
    • Created automated preprocessing and validation workflows for structured operational datasets used in reporting, forecasting, and business analytics initiatives.
    • Optimized reusable SQL queries, aggregation pipelines, and reporting frameworks involving joins, performance optimization, and recurring data delivery processes.
    • Supported operational analytics projects by developing foundational statistical analysis workflows and data preparation pipelines for internal business teams.
    • Worked with large datasets across PostgreSQL, MySQL, and cloud-based storage e
  • I
    Data Analyst
    Informulate
    Oct 2013 - Mar 2014 (6 months)
    • Built analytical reports, operational dashboards, and recurring reporting workflows using SQL, Python, and spreadsheet-based analysis techniques.
    • Developed data cleansing, transformation, and validation scripts to improve reporting consistency and operational data quality.
    • Assisted with ETL workflows, database analysis, and API-driven data extraction processes supporting internal reporting and analytics projects.
    • Worked with PostgreSQL, MySQL, and SQL Server environments to consolidate and prepare datasets for operational reporting initiatives.
    • Applied statistical analysis, trend analysis, and exploratory data profiling methods to identify reporting gaps and operational inconsistencies.
    • Supported senior
Education verified_user 0% verified
  • University of Florida
    Bachelor’s Degree in Computer Science
    University of Florida
    Jan 2009 - Jan 2013 (4 years 1 month)