Hi, I’m Randy Hollins. I’m a Senior AI/ML Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, including large language models and generative AI solutions. I enjoy turning complex problems into scalable, reliable software that delivers real business value. I lead cross-functional teams, mentor engineers, and advocate for responsible AI, explainability, and ethical practices. I thrive in enterprise SaaS environments, automate ML workflows, and continuously improve systems through monitoring, feedback, and collaboration.

Randy Hollins

Hi, I’m Randy Hollins. I’m a Senior AI/ML Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, including large language models and generative AI solutions. I enjoy turning complex problems into scalable, reliable software that delivers real business value. I lead cross-functional teams, mentor engineers, and advocate for responsible AI, explainability, and ethical practices. I thrive in enterprise SaaS environments, automate ML workflows, and continuously improve systems through monitoring, feedback, and collaboration.

Available to hire

Hi, I’m Randy Hollins. I’m a Senior AI/ML Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, including large language models and generative AI solutions. I enjoy turning complex problems into scalable, reliable software that delivers real business value.

I lead cross-functional teams, mentor engineers, and advocate for responsible AI, explainability, and ethical practices. I thrive in enterprise SaaS environments, automate ML workflows, and continuously improve systems through monitoring, feedback, and collaboration.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior AI & Machine Learning Engineer at Altoros
September 1, 2023 - November 6, 2025
Lead the design, development, and deployment of LLM-powered generative AI applications for enterprise SaaS platforms using LangChain, Hugging Face, PyTorch, and TensorFlow. Built scalable AI/ML architectures supporting real-time inference, batch processing, and distributed training across AWS, Azure, and GCP. Developed and maintained end-to-end MLOps pipelines (training, fine-tuning, hyperparameter optimization, evaluation, deployment, monitoring, and retraining). Created AI agents for autonomous decision-making and task automation, improving operational efficiency. Designed scalable data ingestion pipelines handling structured, semi-structured, and unstructured data at scale. Collaborated with product, design, and operations teams to deploy AI into SaaS products and workflows. Implemented performance dashboards, explainability metrics, and reliability monitors. Researched cutting-edge AI solutions including domain-specific LLM agents and multi-modal systems. Optimized LLM architecture
Senior AI/ML Engineer at Microsoft
August 1, 2023 - August 1, 2023
Developed enterprise-grade AI/ML solutions for NLP, recommendation engines, predictive analytics, and intelligent automation. Built and optimized distributed ML pipelines using Apache Spark, PyTorch, TensorFlow, Pandas, and NumPy for large-scale training and inference. Designed and deployed LLM-based agentic AI systems to automate decision-making and improve operational efficiency. Implemented real-time inference and batch processing pipelines for high-volume enterprise data. Managed end-to-end MLOps pipelines including model versioning, CI/CD integration, monitoring, and automated retraining. Led cross-functional teams and mentored engineers on AI system design, deployment, and scaling. Created dashboards tracking model performance, reliability, and explainability. Applied AI-driven fraud detection, predictive modeling, and recommendation systems. Contributed to scalable ML architectures for multi-cloud deployments and collaborated on data engineering and feature pipelines.
AI & Machine Learning Engineer at PayPal
March 1, 2018 - March 1, 2018
Started as Frontend Developer Intern, supporting data-driven dashboards for transactional and fraud analytics. Promoted to Full Stack Engineer, integrating AI/ML models into production for fraud detection, credit underwriting, and predictive analytics. Built end-to-end ML pipelines (data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring). Designed real-time inference systems for transaction monitoring and fraud risk reduction. Applied deep learning and NLP techniques to analyze transactional patterns and user behavior for automated fraud detection. Developed distributed ML frameworks (PyTorch, TensorFlow, Apache Spark, Pandas, NumPy) to handle large financial datasets. Automated retraining, monitoring, and evaluation dashboards to maintain production model accuracy. Built LLM-based prototypes and AI agents to support predictive risk scoring and operational decision-making. Mentored junior engineers on AI integration, MLOps, and scalable p
Senior AI/ML Engineer at Altoros
September 1, 2023 - Present
Lead the design, development, and deployment of LLM-powered generative AI applications for enterprise SaaS platforms using LangChain, Hugging Face, PyTorch, and TensorFlow. Built scalable AI/ML architectures supporting real-time inference, batch processing, and distributed training. Created AI agents for autonomous decision-making, implemented end-to-end data ingestion, and collaborated with product, data science, and engineering teams to integrate AI into SaaS workflows.
Senior AI & ML Engineer at Microsoft
April 1, 2018 - August 1, 2023
Developed enterprise-grade AI/ML solutions for NLP, recommender systems, predictive analytics, and intelligent automation; built end-to-end ML pipelines, monitoring, and deployment for production use; mentored junior engineers; led cross-functional teams to deliver AI features across SaaS products.
AI & ML Engineer at PayPal
June 1, 2014 - March 1, 2018
Developed AI/ML solutions for fraud detection, risk scoring, and operational optimization; designed and deployed scalable ML pipelines; collaborated with data scientists and product teams; contributed to improved security and business performance.

Education

Bachelor's Degree in Computer Science at Texas State University
August 1, 2010 - May 1, 2014
Bachelor's Degree in Computer Science at Texas State University
August 1, 2010 - May 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Software & Internet, Professional Services, Telecommunications, Media & Entertainment, Other