
I thrive on building and scaling sophisticated machine learning systems that tackle complex challenges, particularly in areas like AI-driven recommendations and real-time advertising. My passion lies in transforming innovative ideas into production-ready solutions.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led two engineering teams of 20+ members at Google, driving large-scale ML project success.
Currently developing advanced LLM-based video recommendation systems at Unity.
Can help others by architecting end-to-end ML pipelines and optimizing pCTR models.
🚀 Career trajectory
Foundation in Engineering
Began career honing core software engineering skills, progressing through Senior and Staff roles at Google.
✦ Software Engineering
Transition to Management
Moved into Engineering Management at Google, leading teams and large-scale ML projects.
✦ Engineering Management
✦ Team Leadership
✦ ML Projects
Principal ML Engineer
Currently driving cutting-edge ML initiatives as a Principal Machine Learning Engineer at Unity.
✦ Principal Engineer
✦ Machine Learning
✦ Unity
✦ LLMs
💪🏻 Superpowers
ML System Architect
Designing and implementing robust, scalable machine learning solutions.
Orchestrated end-to-end ML pipelines from data engineering to real-time serving.
Optimized pCTR models for large-scale ad systems, enhancing performance.
Developed LLM-based video recommendation enhancements.
Engineering Leadership
Guiding and empowering teams to achieve ambitious technical goals.
Managed and mentored two engineering teams, each exceeding 20 members.
Drove successful development and deployment of multiple large-scale projects.
Fostered a culture of innovation and high performance.
Cross-Domain ML Innovation
Applying advanced ML techniques to solve complex problems.
Leveraged LLMs for novel video recommendation strategies.
Specialized in pCTR model optimization for significant ad system impact.
Expertise spans diverse applications of ML.
I'm excited about
Exploring novel AI applications in gaming and real-time environments.
Connecting with thought leaders in distributed systems and MLOps.
Seeking opportunities to mentor emerging AI talent.
I can help with
Advise on building and scaling robust machine learning infrastructure.
Share best practices for managing high-performing engineering teams.
Provide insights into LLM applications for recommendation systems.
I would love your help on
Gain perspectives on emerging trends in real-time AI inference.
Discover innovative approaches to AI ethics in gaming.
Learn about cutting-edge research in generative AI models.