Alfred Lucero
@alfredlucero
Senior software engineer applying AI and cloud engineering to build high-performance, scalable content moderation systems.
What I'm looking for
I’m a Senior Software Engineer with extensive AI, cloud, and web technology expertise, focused on building high-performance systems that scale reliably. I lead and deliver end-to-end engineering work, from architecture through backend services and operational improvements.
At Google, I spearheaded the YouTube Review Tool (YuRT), an AI-powered content moderation system that improved review efficiency by 50%. I also architected and implemented GCP-based, cloud-native infrastructure with Terraform, reducing service downtime by 40% and improving system responsiveness by 25%.
Before that, at Twilio, I led the ECHO frontend team through a migration from Backbone/Marionette to React/Redux, improving user experience and performance by 25%. I directed infrastructure migration to AWS using CloudFront and Terraform (cutting costs by 40%), and built serverless solutions with AWS Lambda and Google Cloud Functions to reduce overhead and improve deployment speed with CI/CD.
I’m motivated by outcomes—measurable reliability, faster delivery, and smarter automation. I also mentor engineers and guide design discussions, and I enjoy integrating machine learning into real workflows, like TensorFlow-based sentiment analysis and chatbots, to drive engagement and operational impact.
Experience
Work history, roles, and key accomplishments
Spearheaded the YouTube Review Tool (YuRT), an AI-powered content moderation system that improved review efficiency by 50%. Architected and implemented GCP/Terraform-based infrastructure, reducing service downtime by 40% and improving system responsiveness by 25%.
Led migration of Twilio web applications from Backbone/Marionette to React/Redux, improving user experience and performance by 25%. Directed infrastructure migration to AWS and built additional serverless solutions, including AI-driven engagement and predictive/anomaly analytics initiatives.
Developed a D3.js-based web application to visualize blockchain data and support Department of Homeland Security analysts. Built a real-time data pipeline using Node.js and Socket.io and contributed tools for blockchain transaction tracking using Neo4j and MongoDB.
Education
Degrees, certifications, and relevant coursework
University of California, Los Angeles (UCLA)
Bachelor's Degree, Computer Science
2013 - 2017
Completed a Bachelor's degree in Computer Science at UCLA from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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