Open to opportunities

Richard Jackson

@richardjackson1

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Experienced Machine Learning Engineer and Solution Architect driving AI innovation.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and cloud solutions.

I am a Machine Learning Engineer and Solution Architect with over 10 years of experience in developing and deploying advanced AI models and architecting scalable cloud solutions. My expertise lies in Python, PyTorch, TypeScript, and Go, with a strong focus on optimizing pipelines and deploying robust systems on AWS and GCP.

At Google, I designed and deployed state-of-the-art AI models, optimizing recommendation systems and predictive analytics by 40%. I also architected scalable cloud solutions that enhanced system performance and reduced costs by 25%. My passion for leveraging AI and cloud infrastructure drives my commitment to solving complex challenges in ecommerce and personalization.

Throughout my career, I have led teams in best practices for solution architecture, mentored colleagues, and collaborated with cross-functional teams to align architectural solutions with business objectives. I am dedicated to ethical AI practices and continuously seek to improve operational efficiency and customer satisfaction.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Google

Sep 2021 - Present (3 years 10 months)

Designed and deployed state-of-the-art AI models using PyTorch, TensorFlow, and NLP, optimizing recommendation systems and predictive analytics by 40%. Architected scalable cloud solutions for AI deployments, leveraging AWS and GCP to enhance system performance and reduce costs by 25%.

PyTorch TensorFlow NLP AWS GCP React TypeScript GraphQL Spark Kafka Go

Machine Learning Engineer

Tesla

Mar 2020 - Present (5 years 4 months)

Architected and implemented machine learning solutions for fraud detection and recommendation systems, integrated with Tesla’s cloud infrastructure (AWS/GCP), reducing fraud incidents by 30%. Automated machine learning pipelines with Docker, Kubernetes, and CI/CD, cutting deployment times by 50%.

AWS GCP React TypeScript Docker Kubernetes CI CD GraphQL AI Machine Learning

Full Stack Engineer & Solution Architect

ZipRecruiter

May 2016 - Present (9 years 2 months)

Architected and deployed full-stack solutions using React, GraphQL, and Go, improving the scalability and performance of ZipRecruiter’s platforms. Engineered machine learning models for personalized product recommendations, driving a 20% increase in conversion rates.

React GraphQL Go Machine Learning RESTful APIs Microservices Spark Kafka

Intern – Data Science & Full Stack

Coral Analytics

Jul 2015 - Present (10 years)

Built and deployed machine learning models for predictive analytics using Python and scikit-learn, contributing to client projects. Developed front-end components using React and JavaScript, enhancing the interactivity of data visualization tools.