Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Patrick Brown, a Senior AI Engineer and Software Engineer with a passion for turning complex data into practical, scalable solutions that drive business results. I've led end-to-end AI initiatives across e-commerce, cloud platforms, and enterprise systems, from initial concept and design through deployment, monitoring, and continuous improvement. I value collaboration with cross-functional teams, mentoring colleagues, and advancing responsible, interpretable AI through practices like SHAP and LIME. I’m passionate about building reliable systems and elevating user experiences.…Hi, I'm Patrick Brown, a Senior AI Engineer and Software Engineer with a passion for turning complex data into practical, scalable solutions that drive business results. I've led end-to-end AI initiatives across e-commerce, cloud platforms, and enterprise systems, from initial concept and design through deployment, monitoring, and continuous improvement. I value collaboration with cross-functional teams, mentoring colleagues, and advancing responsible, interpretable AI through practices like SHAP and LIME. I’m passionate about building reliable systems and elevating user experiences.

Patrick Brown

AI Engineer, Data Scientist, Full Stack Developer, +2





Hi, I'm Patrick Brown, a Senior AI Engineer and Software Engineer with a passion for turning complex data into practical, scalable solutions that drive business results. I've led end-to-end AI initiatives across e-commerce, cloud platforms, and enterprise systems, from initial concept and design through deployment, monitoring, and continuous improvement. I value collaboration with cross-functional teams, mentoring colleagues, and advancing responsible, interpretable AI through practices like SHAP and LIME. I’m passionate about building reliable systems and elevating user experiences.…Hi, I'm Patrick Brown, a Senior AI Engineer and Software Engineer with a passion for turning complex data into practical, scalable solutions that drive business results. I've led end-to-end AI initiatives across e-commerce, cloud platforms, and enterprise systems, from initial concept and design through deployment, monitoring, and continuous improvement. I value collaboration with cross-functional teams, mentoring colleagues, and advancing responsible, interpretable AI through practices like SHAP and LIME. I’m passionate about building reliable systems and elevating user experiences.

Available to hire

Hi, I’m Patrick Brown, a Senior AI Engineer and Software Engineer with a passion for turning complex data into practical, scalable solutions that drive business results. I’ve led end-to-end AI initiatives across e-commerce, cloud platforms, and enterprise systems, from initial concept and design through deployment, monitoring, and continuous improvement.

I value collaboration with cross-functional teams, mentoring colleagues, and advancing responsible, interpretable AI through practices like SHAP and LIME. I’m passionate about building reliable systems and elevating user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Django

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at The Home Depot

January 1, 2023 - Present

Designed and deployed a product recommendation engine using TensorFlow, scikit-learn, and AWS SageMaker to improve personalized shopping experiences across the e-commerce platform. Developed an inventory optimization model with Python and PyTorch to anticipate restocking needs and streamline warehouse management. Implemented real-time sentiment analysis with spaCy and Hugging Face, and integrated RAG pipelines using LangChain and Elasticsearch to enhance marketing insights and enable semantic search and Q&A on product documentation and reviews. Enabled AI-powered visual search by integrating OpenCV and TensorFlow into the Home Depot mobile app to improve search accuracy for DIY customers. Devised fraud detection logic using XGBoost and SQL to proactively flag anomalous transaction patterns. Established MLOps practices with Docker, Kubernetes, and GitHub Actions for reliable deployment. Mentored cross-functional teams on model interpretability and ethical AI, introducing SHAP and LIME i

Senior Software Engineer in Machine Learning at Amazon

January 1, 2019 - December 31, 2022

Built a dynamic product pricing service with Java, Spring Boot, and DynamoDB to enable AI-driven price optimization. Developed backend APIs for Alexa’s voice interface using Python (Flask) and AWS Lambda to integrate NLP models with customer-facing features. Collaborated on a spam prevention initiative for Amazon Marketplace using scikit-learn and SageMaker, reducing manual reviews and increasing automatic detection. Enhanced the order recommendation infrastructure by coupling Kinesis, PostgreSQL, and Redis for high-availability, real-time streaming. Launched a collaborative filtering module for Amazon Fresh using PySpark and EMR, delivering more relevant grocery suggestions. Designed audit and data lineage tracking with AWS Glue and CloudWatch Logs to improve visibility into training data usage. Automated unit testing for ML-backend features using PyTest and Jenkins to improve code reliability.

Machine Learning Engineer at IBM

August 1, 2015 - December 1, 2018

Supported development of a document classification system for enterprise clients using scikit-learn, NLTK, and Flask, improving data retrieval workflows. Created a time-series anomaly detection module with pandas and Prophet for internal IT monitoring dashboards. Assisted in deploying fraud detection models to production using Docker and Jenkins. Enhanced an existing text summarization tool by integrating Gensim and NLTK. Designed Jupyter-based templates with matplotlib, pandas, and NumPy for data analysis. Built RESTful APIs in Python and Flask to serve ML predictions and facilitate integration with customer-facing applications. Collaborated with senior engineers to ensure reproducibility by introducing Git version control protocols into the data science workflow.