Open to opportunities

James Aulds

@jamesaulds

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Accomplished Senior AI engineer and Backend Developer with 10+ years experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and continuous learning, where I can leverage my AI expertise to drive impactful solutions.

I am a seasoned Senior AI engineer and Backend Developer with over a decade of experience in delivering innovative AI-powered solutions and full-stack applications. My expertise lies in Generative AI prototyping, cloud deployment, and building scalable, data-driven platforms using Python and JavaScript/TypeScript. I have a strong commitment to delivery excellence and adaptability, leveraging emerging AI technologies to enhance user experience and operational efficiency.

Throughout my career, I have led significant projects, including the development of the Polyphonic™ AI-driven surgical ecosystem at Johnson & Johnson, where I integrated Generative AI techniques to improve surgical training and operational workflows. My work has consistently focused on collaboration across teams, ensuring high-impact AI products are delivered in healthcare, retail, and industrial domains. I am passionate about mentoring junior engineers and advocating for continuous learning and adoption of state-of-the-art AI tools.

Experience

Work history, roles, and key accomplishments

Senior AI Engineer/Backend Developer

Johnson & Johnson

Aug 2022 - Present (2 years 11 months)

Led the backend development of the Polyphonic™ AI-driven surgical ecosystem using Python, FastAPI, and React, integrating Generative AI techniques and cloud deployment on AWS. Designed and implemented AI-powered video analysis modules leveraging Python, machine learning libraries like TensorFlow, and vector databases such as Pinecone to generate post-operative video highlights.

Python fastAPI React Generative AI AWS TensorFlow Pinecone Docker Kubernetes GCP PostgreSQL Redis Terraform Prompt Engineering RAG Kafka Datadog)PyTorch Weaviate

AI Engineer

Walmart

Jan 2020 - Present (5 years 6 months)

Developed backend AI services for Wally, a generative AI assistant using Python and Flask, integrating large language models and Generative AI frameworks to automate merchandising data workflows. Implemented rapid full-stack features in TypeScript and React for real-time operational support dashboards, deploying prototypes on AWS with Docker and Kubernetes.

Machine Learning Engineer

Caterpillar Inc.

Jul 2017 - Present (8 years)

Engineered core machine learning models for the Cat® Predictive Maintenance Platform using Python, TensorFlow, and Scikit-learn, deploying inferencing services on AWS with manual and automated Kubernetes orchestration. Designed sensor data pipelines with real-time ingestion systems built on Kafka and time-series databases such as TimescaleDB to monitor equipment health and predict failures.

Python TensorFlow scikit learn AWS Kubernetes Kafka TimeScaleDB Flask PostgreSQL Cassandra Prometheus Grafana Weaviate Docker Jenkins Gitlab CI IoT Redis Elasticsearch Terraform

Education

Degrees, certifications, and relevant coursework

Purdue Global

Master's Degree, Computer Science

Completed a Master's Degree in Computer Science, focusing on advanced topics and research within the field. Gained expertise in complex problem-solving and theoretical foundations.

Purdue Global

Bachelor's Degree, Computer Science

Obtained a Bachelor's Degree in Computer Science, building a strong foundation in programming, algorithms, and data structures. Developed core skills essential for software development and engineering.