
I'm driven by building advanced AI for recommendation and personalization systems, tackling complex challenges at scale. I thrive when leading innovative engineering teams and pushing the boundaries of machine learning to enhance user experiences globally.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led deep learning solutions for recommendation engines at Google Brain and Meta.
Currently building cutting-edge recommendation and personalization systems as a Senior Staff ML/AI Engineer at Meta.
Can advise on architecting scalable AI systems and leading high-performing engineering teams.
🚀 Career trajectory
Foundational Engineering at Google
Began career as a Senior Software Engineer, building core systems.
✦ Software Engineering
✦ Distributed Systems
Machine Learning Leadership at Google Brain
Transitioned to Technical Lead for Machine Learning, focusing on cutting-edge AI research and application.
✦ Machine Learning
✦ AI
✦ Technical Leadership
Management and Scale at Meta
Served as an Engineering Manager at Facebook, leading teams and driving strategic initiatives.
✦ Engineering Management
✦ Team Leadership
✦ Product Development
Advanced ML at Meta
Currently a Senior Staff ML/AI Engineer, driving innovation in recommendation and personalization.
✦ Senior Staff Engineer
✦ Recommendation Systems
✦ Deep Learning
💪🏻 Superpowers
AI Innovation Architect
Designing and deploying advanced ML systems for global platforms.
✦ Spearheaded deep learning solutions for recommendation engines.
✦ Enhanced content integrity using sophisticated AI models.
✦ Developed scalable, high-performance machine learning infrastructure.
Engineering Leadership Catalyst
Building and mentoring high-performing engineering teams.
✦ Managed and scaled engineering teams at Meta and Google.
✦ Fostered cross-functional collaboration for project success.
✦ Coached engineers to achieve peak performance and career growth.
Scalable Systems Strategist
Architecting robust and efficient distributed ML systems.
✦ Designed and implemented distributed systems for ML workloads.
✦ Optimized performance for large-scale AI applications.
✦ Ensured reliability and efficiency in complex software environments.
I'm excited about
✦ Exploring novel AI applications in recommendation and personalization.
✦ Connecting with industry leaders to share insights on scalable ML.
✦ Discovering collaborative opportunities to push the boundaries of AI.
I can help with
✦ Advise on building and scaling advanced machine learning systems.
✦ Share best practices for leading high-impact engineering teams.
✦ Provide strategic insights on recommendation and personalization techniques.
I would love your help on
✦ Insights into emerging AI research outside core recommendation domains.
✦ Connections with startups exploring innovative AI applications.
✦ Discussions on ethical considerations in AI development and deployment.