Hi, I'm Anand Raja - Staff GPU Performance Engineer at Google
I thrive at the intersection of hardware and machine learning, obsessing over every millisecond of kernel performance. My drive comes from solving complex computational bottlenecks to make autonomous systems faster.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Developed high-performance computer vision and autonomous driving software while at MathWorks.
Serves as a Staff GPU Performance Engineer at Google, focusing on large-scale hardware acceleration.
Offers expert-level guidance on kernel optimization, ML infrastructure scaling, and technical team leadership.
🚀 Career trajectory
Foundation in Computer Vision
Began as a software engineer at MathWorks, focusing on autonomous driving algorithms.
✦ Computer Vision
✦ Autonomous Driving
Scaling ML Infrastructure
Transitioned to Cruise, leading the development of accelerator kernels and managing high-impact technical teams.
✦ ML Acceleration
✦ Technical Leadership
Advanced Performance Research
Currently focused on pushing GPU performance boundaries in large-scale environments at Google.
✦ GPU Performance
✦ Cloud Infrastructure
💪🏻 Superpowers
Hardware-Software Co-Design
Architecting systems for peak computational efficiency
Optimize kernel performance for specialized AI accelerators
Bridge the gap between model training and hardware execution
Streamline high-throughput data processing for autonomous systems
Domain-Specific Acceleration
Scaling ML workloads for real-time environments
Design custom libraries for low-latency inference cycles
Execute performance tuning on diverse GPU architectures
Translate complex computer vision logic into hardware-aware code
Technical Team Leadership
Guiding cross-functional teams through complex technical delivery
Mentor engineers in advanced hardware-level optimization techniques
Direct the roadmap for infrastructure-critical software projects
Foster a culture of precision and iterative system improvement
I'm excited about
Exploring new frontiers in high-performance computing and AI-driven acceleration.
Connecting with experts to discuss the evolution of GPU architecture and hardware trends.
Finding new opportunities to build and advise on large-scale engineering infrastructure.
I can help with
Provide technical guidance on optimizing ML kernels for diverse GPU platforms.
Offer insights into navigating high-growth engineering environments in autonomous vehicle sectors.
Advise on building and managing high-performing technical teams for complex software stacks.
I would love your help on
Seeking perspectives on emerging trends in hardware-accelerated machine learning.
Interested in networking with architects working on next-generation cloud infrastructure.
Looking for guidance on strategic leadership transitions within large technology companies.