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I am Robert Williams, 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’ve led cross-functional teams, prioritized reliability, security, and performance, and delivered scalable ML/DL solutions in ecommerce and enterprise contexts. I enjoy turning data into actionable insights and guiding teams through complex technical initiatives. Currently at Walmart, I architect scalable AI systems and data pipelines, mentor engineers, and drive cross-team initiatives that empower product and business outcomes. I thrive on simplifying hard problems, communicating clearly with stakeholders, and delivering robust systems that scale with business needs.…I am Robert Williams, 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’ve led cross-functional teams, prioritized reliability, security, and performance, and delivered scalable ML/DL solutions in ecommerce and enterprise contexts. I enjoy turning data into actionable insights and guiding teams through complex technical initiatives. Currently at Walmart, I architect scalable AI systems and data pipelines, mentor engineers, and drive cross-team initiatives that empower product and business outcomes. I thrive on simplifying hard problems, communicating clearly with stakeholders, and delivering robust systems that scale with business needs.

Robert Williams

AI Engineer, Full Stack Developer, Web Developer, +4

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I am Robert Williams, 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’ve led cross-functional teams, prioritized reliability, security, and performance, and delivered scalable ML/DL solutions in ecommerce and enterprise contexts. I enjoy turning data into actionable insights and guiding teams through complex technical initiatives. Currently at Walmart, I architect scalable AI systems and data pipelines, mentor engineers, and drive cross-team initiatives that empower product and business outcomes. I thrive on simplifying hard problems, communicating clearly with stakeholders, and delivering robust systems that scale with business needs.…I am Robert Williams, 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’ve led cross-functional teams, prioritized reliability, security, and performance, and delivered scalable ML/DL solutions in ecommerce and enterprise contexts. I enjoy turning data into actionable insights and guiding teams through complex technical initiatives. Currently at Walmart, I architect scalable AI systems and data pipelines, mentor engineers, and drive cross-team initiatives that empower product and business outcomes. I thrive on simplifying hard problems, communicating clearly with stakeholders, and delivering robust systems that scale with business needs.

Available to hire

I am Robert Williams, 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’ve led cross-functional teams, prioritized reliability, security, and performance, and delivered scalable ML/DL solutions in ecommerce and enterprise contexts. I enjoy turning data into actionable insights and guiding teams through complex technical initiatives.

Currently at Walmart, I architect scalable AI systems and data pipelines, mentor engineers, and drive cross-team initiatives that empower product and business outcomes. I thrive on simplifying hard problems, communicating clearly with stakeholders, and delivering robust systems that scale with business needs.

Skills

Experience Level

Expert

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Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Advanced

English

Fluent

Work Experience

AI Staff Engineer at Walmart

May 1, 2019 - Present

Architected and deployed scalable serverless APIs using AWS Lambda, API Gateway, and Python to improve backend throughput by 40% while supporting multi-tenant SaaS integrations. Led development and deployment of AI systems using Python, TensorFlow, and PyTorch for scalable ML/DL solutions. Designed and optimized ETL pipelines leveraging SQL and PySpark to process terabytes of streaming data daily into AWS S3 and Redshift, achieving a 50% increase in data ingestion efficiency. Migrated from monolithic Django APIs to a microservices architecture containerized with Docker and managed via Kubernetes, reducing deployment time by 30% and increasing service reliability. Integrated AI-powered tools like GitHub Copilot, Zencoder, and Cursor into the development workflow.

Software Engineer (E6) at Facebook

June 1, 2013 - April 30, 2019

Developed backend services using Django ORM and Python, processing over 500k records daily on MySQL with a 25% performance gain. Built scalable backend APIs in Python (Django, Flask) supporting financial and healthcare applications, improving API response times by 30% via query optimizations and caching. Implemented ETL pipelines to ingest and process 500+ GB of data weekly using Apache Kafka, Hive, and Python, increasing throughput by 20%. Integrated C++ modules to accelerate data processing, achieving a 20% reduction in batch processing time. Built real-time dashboards with React and D3.js, enabling faster data-driven decisions. Re-architected legacy services into serverless RESTful APIs with API Gateway and Lambda, reducing infrastructure costs by 35% and improving latency by 25%. Designed and maintained SQL queries and Snowflake-like warehouses and PostgreSQL for fast, reliable ETL workflows. Built data pipelines processing over 10TB of real-time event data using PySpark, Hive, and

Software Developer at Wish

April 1, 2013 - June 1, 2013

Created a robust web scraper using Beautiful Soup, Scrapy, and Selenium to gather business data from BizBuySell.com based on client criteria. Engineered a system to store scraped data in PostgreSQL on Google Cloud Platform, ensuring data integrity and easy access. Developed functionality to regularly update a Google Sheets document with new data, handling duplicates and removed listings. Implemented data export functionality in CSV and Excel using pandas. Designed and implemented an AI-based scraper to enhance data extraction accuracy and efficiency. Built a platform to automate and structure sales data by combining AI, a robust backend, and cloud deployment.

Software Engineer (E6) at FaceBook

June 1, 2015 - April 20, 2019

Developed and optimized backend services using Django ORM and Python, processing 500k+ records daily on MySQL with 25% performance gains. Built scalable backend APIs (Django, Flask) for financial and healthcare apps, improving API response times by 30% via query optimizations and caching. Implemented ETL pipelines to ingest and process 500+ GB of data weekly using Kafka, Hive, and Python, increasing throughput by 20%. Integrated C++ modules to accelerate data processing, achieving a 20% reduction in batch processing time for transaction datasets. Built real-time dashboards with React and D3.js for faster data-driven decisions. Re-architected legacy services into serverless RESTful APIs with API Gateway and Lambda, reducing costs by 35% and improving latency by 25%. Designed and maintained complex SQL queries and optimized database schema in Snowflake-like warehouses and PostgreSQL for fast BI workflows. Built pipelines processing over 10TB of real-time event data using PySpark, Hive, a