Open to opportunities

Patrick Clark

@patrickclark

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Senior Software Engineer and AI/ML specialist delivering production-ready ML systems.

United States

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What I'm looking for

I seek senior engineering roles building scalable, secure AI/ML products with strong MLOps, cloud-native practices, and measurable business impact.

I am a Senior Software Engineer and AI/ML specialist with over 10 years building production AI-powered applications, focused on LLMs, computer vision, recommendation systems, and real-time ML pipelines.

I have integrated models into scalable cloud-native systems on Azure and AWS, applied MLOps best practices, and delivered measurable business impact such as reduced response times, improved processing efficiency, and fraud reduction across retail and e-commerce.

I combine full‑stack development, strong security and compliance experience (HIPAA, PCI DSS, GDPR), and practical expertise with frameworks like PyTorch, TensorFlow, LangChain, and vector databases to turn complex ML capabilities into reliable user-facing products.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Specialist

Current

Kiggla

Jan 2025 - Present (1 year)

Engineered full-stack React.js + Node.js applications integrated with Azure Functions and Cosmos DB, reducing response time by 30% and improving media processing efficiency by 35% through automated image recognition pipelines.

React Node Azure Functions Cosmos TensorFlow Cloudsight API Azure DevOps AKS

AI/ML Engineer

Simpleview

Feb 2022 - Dec 2024 (2 years 10 months)

Developed full-stack React.js + Node.js solutions on Azure, built PyTorch recommendation engines improving booking accuracy by 19%, and deployed CI/CD with Azure DevOps and Kubernetes to reduce downtime by 20%.

React Node PyTorch Azure Event Hubs Azure DevOps Kubernetes Cloudsight API

Machine Learning Engineer

Amazon

Jun 2018 - Feb 2022 (3 years 8 months)

Built fraud detection systems and LLM-driven product catalog parsing, reducing fraudulent transactions by 29% and deploying demand-forecasting models in SageMaker to improve inventory management at scale.

AWS Sagemaker Kafka TensorFlow Deep Learning Recommendation Systems Kubernetes PostgreSQL

Applied ML Engineer

The Home Depot

Feb 2017 - May 2018 (1 year 3 months)

Designed demand forecasting and fraud detection microservices using Prophet, TensorFlow, and FastAPI, reducing fraud by 17% and improving page load speed by 22% through predictive caching.

fastAPI Django TensorFlow Prophet AWS Jenkins

Full Stack Engineer

IBM

Nov 2015 - Jan 2017 (1 year 2 months)

Built adaptive HR recommendation engines and LLM-powered chatbots with Django/FastAPI and React.js, delivering personalized learning and real-time analytics for employee engagement.