Open to opportunities

Damon User

@damonuser

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Experienced AI/ML Engineer specializing in scalable machine learning solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI/ML expertise to drive impactful projects and contribute to a forward-thinking team.

I am an experienced and results-oriented AI/ML Engineer with over 8 years of expertise in designing and deploying scalable machine learning solutions across various sectors, including healthcare, finance, and enterprise automation. My specialization lies in building production-grade LLM applications using modern frameworks such as LangChain, LangGraph, and the Model Context Protocol (MCP). I have a proven track record of success in prompt engineering, RAG pipelines, and tool integrations across platforms like Azure OpenAI and Google Gemini.

Throughout my career, I have been known for aligning technical solutions with business needs, driving measurable impact such as improving diagnostic accuracy and automating workflows. My hands-on experience with NLP, deep learning, and computer vision, along with industry-standard MLOps tools, has enabled me to build secure, explainable, and compliant AI systems in regulated environments. I am passionate about leveraging my skills to create innovative solutions that enhance operational efficiency and deliver significant value to organizations.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

GlobalLogic

Oct 2021 - Present (3 years 8 months)

Designed and implemented a modular, multi-agent LLM-powered Project Management Assistant using GPT-4o, Azure AI Search, LangGraph, and Retrieval-Augmented Generation (RAG) techniques. Automated meeting summarization, task extraction, and real-time updates via Jira and Slack, reducing manual coordination by 40% and improving project delivery timelines. Deployed models using Azure OpenAI and Azure M

LLM LangGraph Azure Search BERT Docker Apache Airflow Redis

Machine Learning Engineer

Frost Bank

Feb 2019 - Sep 2021 (2 years 7 months)

Designed and deployed a credit risk assessment model using FinBERT and tabular transformer architectures, improving loan default prediction accuracy by 18% over legacy methods. Developed end-to-end data pipelines for feature engineering, model training, scoring, and validation using Databricks. Utilized AWS SageMaker for scalable model development, training, and deployment, enabling faster experim

FinBERT Databricks AWS Sagemaker XGBoost SHAP Git Jenkins

Machine Learning Developer

BayCare Health System

May 2016 - Jan 2019 (2 years 8 months)

Developed an AI-powered brain imaging analysis platform to support early diagnosis of neurological disorders from MRI scans. Built and trained CNN-based deep learning models using TensorFlow, Keras, and OpenCV for automated anomaly detection and classification, achieving 22% improvement in diagnostic accuracy. Deployed models using Google Cloud AI Platform (ML Engine) and Cloud Storage, ensuring s

CNN TensorFlow Keras Google Cloud Platform HIPAA Python SQL

Education

Degrees, certifications, and relevant coursework

University of Central Florida

Bachelor of Science, Computer Science

2012 - 2016

Studied core computer science principles, including programming, data structures, and algorithms. Gained foundational knowledge in software development and theoretical computing.