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Senior Machine Learning and AI Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, LLMs, and Generative AI solutions. Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, MLOps, Kubernetes, Docker, and AWS, Azure, and GCP, with hands-on experience in data pipelines, feature engineering, model deployment, and real-time inference. Proven ability to develop scalable machine learning architectures, NLP systems, and AI-driven applications across finance, healthcare, SaaS, and cybersecurity. Skilled in end-to-end model training, evaluation, and optimization, leading crossfunctional teams, and integrating AI/ML solutions into enterprise-scale software products. Passionate about Responsible AI, AI explainability, and large-scale AI deployments.…Senior Machine Learning and AI Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, LLMs, and Generative AI solutions. Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, MLOps, Kubernetes, Docker, and AWS, Azure, and GCP, with hands-on experience in data pipelines, feature engineering, model deployment, and real-time inference. Proven ability to develop scalable machine learning architectures, NLP systems, and AI-driven applications across finance, healthcare, SaaS, and cybersecurity. Skilled in end-to-end model training, evaluation, and optimization, leading crossfunctional teams, and integrating AI/ML solutions into enterprise-scale software products. Passionate about Responsible AI, AI explainability, and large-scale AI deployments.

Randy Hollins

AI Engineer, Data Scientist, Full Stack Developer, +1

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Senior Machine Learning and AI Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, LLMs, and Generative AI solutions. Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, MLOps, Kubernetes, Docker, and AWS, Azure, and GCP, with hands-on experience in data pipelines, feature engineering, model deployment, and real-time inference. Proven ability to develop scalable machine learning architectures, NLP systems, and AI-driven applications across finance, healthcare, SaaS, and cybersecurity. Skilled in end-to-end model training, evaluation, and optimization, leading crossfunctional teams, and integrating AI/ML solutions into enterprise-scale software products. Passionate about Responsible AI, AI explainability, and large-scale AI deployments.…Senior Machine Learning and AI Engineer with 11 years of experience designing, building, and deploying production-grade AI/ML systems, LLMs, and Generative AI solutions. Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, MLOps, Kubernetes, Docker, and AWS, Azure, and GCP, with hands-on experience in data pipelines, feature engineering, model deployment, and real-time inference. Proven ability to develop scalable machine learning architectures, NLP systems, and AI-driven applications across finance, healthcare, SaaS, and cybersecurity. Skilled in end-to-end model training, evaluation, and optimization, leading crossfunctional teams, and integrating AI/ML solutions into enterprise-scale software products. Passionate about Responsible AI, AI explainability, and large-scale AI deployments.

Available to hire

Senior Machine Learning and AI Engineer with 11 years of experience designing, building, and deploying
production-grade AI/ML systems, LLMs, and Generative AI solutions. Expert in Python, PyTorch, TensorFlow,
Hugging Face, LangChain, MLOps, Kubernetes, Docker, and AWS, Azure, and GCP, with hands-on experience in
data pipelines, feature engineering, model deployment, and real-time inference. Proven ability to develop
scalable machine learning architectures, NLP systems, and AI-driven applications across finance, healthcare,
SaaS, and cybersecurity. Skilled in end-to-end model training, evaluation, and optimization, leading crossfunctional teams, and integrating AI/ML solutions into enterprise-scale software products. Passionate about
Responsible AI, AI explainability, and large-scale AI deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior AI & Machine Learning 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 across AWS, Azure, and GCP. Implemented end-to-end MLOps pipelines including model training, fine-tuning, hyperparameter optimization, evaluation, deployment, monitoring, and retraining. Created AI agents for autonomous decision-making and task automation, improving operational efficiency and reducing manual workload. Designed and implemented data ingestion pipelines capable of processing structured, semi-structured, and unstructured data at scale. Collaborated with cross-functional teams to integrate AI solutions into SaaS products and workflows. Implemented performance monitoring dashboards, tracked model metrics, AI explainability, and system reliability. Researched and prototyped cutting-edge AI solution

Senior AI/ML Engineer at Microsoft

April 1, 2018 - 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 model training and inference. Designed and deployed LLM-based AI systems to automate decision-making, knowledge retrieval, and improved customer experiences. Implemented real-time inference pipelines and batch processing with robust MLOps practices, including model versioning, CI/CD integration, monitoring, and retraining. Mentored junior engineers on ML system design, deployment strategies, and best practices. Established guidelines for Responsible AI, fairness, and explainability in enterprise deployments. Automated operational workflows and performance dashboards to monitor AI systems in production.

Senior AI/ML Engineer at PayPal

June 1, 2014 - March 1, 2018

Developed enterprise-grade AI/ML solutions for NLP, fraud detection, predictive analytics, and automation. Built distributed ML pipelines using PyTorch, TensorFlow, Pandas, NumPy, Apache Spark, and MLflow for large-scale training and inference. Implemented end-to-end MLOps pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and retraining. Created AI agents for autonomous decision-making and workflow automation across payments and fraud domains. Led internal ML initiatives and knowledge-sharing sessions. Drove responsible AI practices for fairness and explainability in financial services. Automated fraud detection and anomaly detection models to reduce risk and improve operational efficiency. Participated in front-end development initiatives during internship to build data-driven dashboards.