Hi, I'm Carlos Pacheco - Staff Software Engineer, Tech Lead at YouTube
I architect and lead teams building world-scale data processing and ML/AI products at YouTube. My passion lies in translating complex research into impactful software solutions. I thrive on tackling ambitious technical challenges in fast-paced, innovative environments.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Holds an ICSE Most Influential Paper Award for impactful computer science research at MIT.
Currently leads teams building features and products processing world-scale data at YouTube.
Can help others by sharing expertise in large-scale data systems and ML/AI product development.
🚀 Career trajectory
Foundational Research
Began career with rigorous computer science research at MIT, laying a strong theoretical and impact-driven foundation.
✦ MIT
✦ Research
✦ ICSE Award
Industry Impact at Scale
Transitioned to industry, driving significant software engineering contributions at Google and Microsoft.
✦ Microsoft
✦ Software Engineering
Leading Product Innovation
Currently leading teams at YouTube, focusing on developing features and products for massive data processing and ML/AI.
✦ YouTube
✦ Tech Lead
✦ Data Systems
✦ ML/AI
💪🏻 Superpowers
Pioneering Large-Scale Systems
Driving innovation in data processing and ML/AI.
✦ Leading teams building features for world-scale data at YouTube.
✦ Expertise in backend data pipelines and ML/AI product development.
✦ Experience with high-availability storage systems (Spanner, F1).
Bridging Research and Industry
Leveraging academic rigor for real-world impact.
✦ Computer science research background from MIT.
✦ ICSE award-winning work with lasting software engineering impact.
✦ Applying deep technical understanding to product development.
Technical Leadership & Full-Stack Mastery
Guiding teams and projects with broad technical skill.
✦ Staff Software Engineer and Tech Lead at YouTube.
✦ Proficient across multiple languages and technologies.
✦ Specializing in full-stack development and system architecture.
I'm excited about
✦ Exploring advanced ML/AI applications in real-time systems.
✦ Connecting with peers to discuss scalable distributed systems architectures.
✦ Finding opportunities to mentor emerging talent in software engineering.
I can help with
✦ Offer guidance on building and scaling data processing pipelines.
✦ Provide insights into developing and deploying ML/AI-powered products.
✦ Share strategies for effective technical leadership in large organizations.
I would love your help on
✦ Recommendations for cutting-edge research in distributed databases.
✦ Introductions to startups focused on novel AI infrastructure.
✦ Feedback on strategies for open-sourcing complex systems.