Open to opportunities

Scott Bale

@scottbale

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Experienced AI/ML Engineer with a passion for innovative solutions.

United States

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What I'm looking for

I am seeking 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 AI/ML Engineer with over 8 years of expertise in designing, developing, and deploying machine learning and AI-driven systems at scale. My specialization in model optimization, real-time inference, natural language processing, and computer vision has enabled me to significantly enhance model accuracy and reduce manual efforts in various projects. I have a proven track record of increasing model accuracy by 30% and delivering predictive systems for enterprise-grade platforms.

Throughout my career, I have successfully led teams and implemented AI-powered solutions that drive data-driven decision-making. At AGILE17, I designed and deployed AI/ML models that serve over 20,000 API requests daily, improving deployment speed by 35%. My experience includes building end-to-end machine learning pipelines and integrating trained models into production environments using Docker and AWS, ensuring accessibility and efficiency across departments.

My technical proficiency encompasses a wide range of tools and frameworks, including Python, TensorFlow, Scikit-learn, and PyTorch. I am passionate about leveraging my skills to create innovative solutions that address complex challenges and contribute to the advancement of AI technologies.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

AGILE17

Aug 2023 - Present (1 year 11 months)

Designed and deployed AI/ML models for real-time prediction systems, serving 20K+ API requests daily across production environments. Built end-to-end machine learning pipelines using Python, Scikit-learn, TensorFlow, and MLflow, improving deployment speed by 35%.

Python scikit learn TensorFlow MLFlow Docker Flask AWS EC2 HuggingFace BERT RoBERTa

Machine Learning Engineer

AGILE17

Jan 2020 - Jul 2022 (2 years 6 months)

Developed scalable AI/ML systems for predictive analytics, resulting in a 40% increase in data-driven decisions company-wide. Built and deployed computer vision models using OpenCV, YOLOv4, and TensorFlow, achieving 96%+ accuracy in defect detection use cases.

OpenCV YOLOv4 TensorFlow XGBoost K Means Random Forest Docker Flask REST APIs

Python Developer

DENEBSOLUTION

Jun 2017 - Dec 2019 (2 years 6 months)

Designed AI/ML models for classification, clustering, and regression using Scikit-learn and XGBoost, improving operational accuracy by 20%. Conducted exploratory data analysis (EDA), feature engineering, and model validation using cross-validation and GridSearchCV.

scikit learn XGBoost Streamlit Flask RESTful APIs Data Pipelines

Education

Degrees, certifications, and relevant coursework

California State University

Bachelors, Unknown

Studied at California State University, gaining foundational knowledge and skills relevant to the field of study. Completed coursework and projects to develop a comprehensive understanding of the subject matter.