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Robert Williams

@robertwilliams2

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AI Staff Engineer specializing in scalable ML systems, distributed infrastructure, and high-performance APIs.

United States

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What I'm looking for

I seek senior engineering roles building scalable ML/AI systems with strong emphasis on reliability, observability, mentorship, and cloud-native best practices.

I am an AI Staff Engineer with 13 years of experience building distributed, fault-tolerant infrastructure and high-performance APIs using Python, Java, and cloud-native technologies. I have led cross-team technical initiatives focused on reliability, security, and performance, and have experience delivering at scale in ecommerce and large-tech environments.

At Walmart I architected serverless APIs and scalable ML systems, optimized ETL pipelines processing terabytes daily, and migrated monolithic services to microservices with Docker and Kubernetes, driving measurable throughput, ingestion, and deployment improvements. Previously at Facebook I developed high-throughput backend services, built real-time data pipelines and dashboards, and implemented infrastructure-as-code to automate deployments.

I combine deep technical expertise in ML/AI tools (TensorFlow, PyTorch, LangChain), cloud and DevOps (AWS, Kubernetes, Terraform), and backend/frontend stacks to deliver end-to-end solutions. I mentor engineers, integrate AI-assisted developer tools, and focus on observability and cost optimization to ensure production-grade, maintainable systems.

Experience

Work history, roles, and key accomplishments

Current

AI Staff Engineer

Current

Walmart

May 2019 - Present (6 years 7 months)

Architected and deployed scalable serverless APIs and AI systems that improved backend throughput by 40% and increased data ingestion efficiency by 50%; led migration to microservices reducing deployment time by 30%.

Python AWS Lambda API Gateway TensorFlow PyTorch Pyspark Docker Kubernetes React

Software Engineer (E6)

Facebook

Jun 2015 - Apr 2019 (3 years 10 months)

Developed and optimized backend services and ETL pipelines, improving API response times by 30% and increasing data processing throughput by 20%; re-architected services into serverless APIs reducing costs by 35%.

Python Django Flask MySQL Apache Kafka Pyspark C++Terraform Jenkins

Software Developer

Wish

Jun 2013 - Apr 2015 (1 year 10 months)

Built AI-enhanced web scraping and data-processing platforms, storing results in PostgreSQL on GCP and enabling export and automation workflows that improved data accuracy and scalability.

Python BeautifulSoup Scrapy Selenium Django PostgreSQL Celery Redis Google Cloud

Education

Degrees, certifications, and relevant coursework

Texas Christian University

Bachelor's Degree, Computer Science

2009 - 2013

Completed a Bachelor's degree in Computer Science at Texas Christian University from 2009 to 2013, focusing on software engineering and systems development.