J

Joshua Butler

About

Detail

Jacksonville, Florida, United States

Timeline

work
Job
school
Education
folder
Project
flag
Award

Résumé

Jobs verified_user 0% verified
  • Zocdoc
    Senior AI/ML Engineer
    Zocdoc
    Aug 2023 - Current (3 years 3 months)
    Zocdoc is a digital health marketplace connecting millions of users to healthcare providers. The platform leverages advanced technologies to optimize search and content discovery. I architect and deploy machine learning models that enhance content ranking and relevance. I design scalable Python-based pipelines processing high-volume healthcare data. I collaborate with product teams to integrate NLP algorithms improving user experience across the platform.
    • Architected end-to-end Python pipeline for NLP-driven content classification, processing thousands of healthcare documents to improve search relevance and platform discoverability using TensorFlow.
    • Designed and deployed PyTorch-based recommendation system integrating user beh
  • Capital One
    Machine Learning Engineer
    Capital One
    Jun 2019 - Aug 2023 (4 years 3 months)
    Capital One is a financial services institution pioneering digital banking and AI-driven financial products. I developed machine learning systems supporting credit risk assessment and fraud detection. I built scalable Python pipelines processing transactional data and customer behavior signals. I implemented TensorFlow models for predictive analytics informing business decisions. I collaborated with data engineering teams to establish robust training infrastructure and monitoring frameworks.
    • Built Python-based credit risk model using scikit-learn and XGBoost, processing historical loan data to predict default probability with enterprise-grade accuracy.
    • Engineered TensorFlow deep learning model for anomaly detection, identifyin
  • Ntiva, Inc.
    Software Engineer
    Ntiva, Inc.
    May 2016 - May 2019 (3 years 1 month)
    Ntiva is a managed IT services provider delivering infrastructure solutions to enterprise clients. I developed software systems supporting IT operations and cloud management platforms. I implemented machine learning components for predictive analytics and anomaly detection. I worked with Python and JavaScript to build tools automating routine operational tasks. I collaborated with infrastructure teams to integrate intelligence into monitoring and alerting systems.
    • Developed Python machine learning module for IT infrastructure anomaly detection, identifying system failures before they impacted client services.
    • Built JavaScript-based monitoring dashboard aggregating infrastructure metrics and displaying predictive alerts from ma
Education verified_user 0% verified
  • C
    NLP Specialization
    Coursera Deep Learning Institute
    Jan 2025 - Current (1 year 10 months)
    Specialized training in natural language processing and large language model integration, critical for working with ChatGPT, Claude, and AI content systems.
  • Amazon Web Services
    AWS Solutions Architect Associate
    Amazon Web Services
    Jan 2024 - Mar 2025 (1 year 3 months)
    Certifies ability to design scalable cloud architectures supporting AI systems, relevant to building and managing AI-powered content production infrastructure.
  • Google Cloud
    Machine Learning Engineer Certification
    Google Cloud
    Jan 2023 - Mar 2024 (1 year 3 months)
    Demonstrates proficiency in building and deploying machine learning systems on enterprise cloud infrastructure, directly applicable to AI-driven content production pipelines.
  • CABRINI UNIVERSITY
    Master of Science in Computer Science
    CABRINI UNIVERSITY
    Jan 2019 - Dec 2019 (1 year)
  • CABRINI UNIVERSITY
    Bachelor of Science in Information Technology
    CABRINI UNIVERSITY
    Jan 2016 - Dec 2016 (1 year)
  • Python Institute
    Python Professional Developer Certification
    Python Institute
    Mar 2012 - May 2013 (1 year 3 months)
    Validates advanced Python programming skills essential for developing automation scripts, content workflows, and AI tool integrations required in this role.
Projects (professional or personal) verified_user 0% verified
  • H
    Healthcare Content Ranking System: AI-Powered Search Optimization
    Apr 2019 - Jul 2022 (3 years 4 months)
    Designed and deployed end-to-end NLP pipeline using TensorFlow that automatically ranks and optimizes healthcare content for both traditional search engines and AI platforms like ChatGPT. System processes thousands of documents daily, applying semantic analysis and topic clustering to improve search visibility and ensure content performs across search and AI-powered platforms.
    Tech: Python, TensorFlow, NLP, Kubernetes, PostgreSQL, ChatGPT API
  • I
    IT Infrastructure Anomaly Detection: Intelligent Monitoring System
    Apr 2016 - Jun 2018 (2 years 3 months)
    Developed Python-based machine learning module detecting infrastructure anomalies and predicting system failures. Built JavaScript monitoring dashboard displaying predictions and alerts in real-time. System leveraged scikit-learn for anomaly detection, reducing unplanned downtime and enabling proactive resource management across client infrastructure.
    Tech: Python, scikit-learn, JavaScript, SQL, monitoring infrastructure
  • C
    Content Pipeline Analytics: Performance Tracking for AI Systems
    Apr 2015 - Jun 2017 (2 years 3 months)
    Created comprehensive analytics framework tracking AI content pipeline performance across research, drafting, editing, and publishing stages using Python and SQL aggregations. Developed Grafana dashboards visualizing content quality metrics, publication frequency, and SEO performance impact. System enabled data-driven optimization of content workflows and informed strategy improvements.
    Tech: Python, SQL, Grafana, Prometheus, PostgreSQL
  • C
    Credit Risk Prediction Engine: Machine Learning for Financial Services
    Aug 2014 - Current (12 years 3 months)
    Built production XGBoost model predicting loan default probability using Python and feature engineering from terabytes of transactional data. Implemented Docker containerization and MLflow experiment tracking, enabling deployment to systems processing millions of credit decisions. Model achieved enterprise accuracy benchmarks and integrated compliance and explainability frameworks using SHAP for regulatory requirements.
    Tech: Python, XGBoost, TensorFlow, Docker, MLflow, SQL, Redis
Awards verified_user 0% verified
  • M
    ML Engineer of the Year: Production System Excellence
    Feb 2023 - Dec 2023 (11 months)
  • I
    Innovation Award: AI-Driven Fraud Detection
    Mar 2018 - Jan 2020 (1 year 11 months)
  • T
    Technical Excellence: Infrastructure Reliability
    Jun 2010 - Aug 2019 (9 years 3 months)