About Me

Anbu Valluvan

Hello! I'm Anbu Valluvan, a Senior AI Engineer currently driving innovation at SQOR.ai, where I architect cutting-edge multi-agent AI systems and RAG solutions. Originally from India, my journey in technology began during my decade-long career at State Bank of India, where I evolved from banking operations to advanced data analytics, ultimately discovering my passion for AI and machine learning.

My professional transformation culminated with a Master's in Applied Data Science from San Jose State University, where I delved deep into machine learning research. During my graduate studies, I published breakthrough research on E-SMOTE techniques at IEEE COMPSAC 2024 and developed innovative Edge AI systems for healthcare applications, achieving 90.71% model compression while maintaining exceptional accuracy.

Today, I specialize in Generative AI, Large Language Model Operations (LLMOps), and multi-agent architectures. At SQOR.ai, I've successfully deployed 13 specialized AI agents, pioneered proprietary semantic chunking algorithms, and engineered scalable GCP-based data pipelines that process documentation from 40+ integrated SaaS tools. My work spans the complete AI/ML lifecycle—from research and development to production deployment and optimization.

When I'm not architecting AI solutions, you'll find me indulging in my love for photography, capturing moments that tell stories. I'm an avid traveler with a particular fondness for beaches and breathtaking sunsets. For an adrenaline rush, I enjoy sky diving, pushing my limits and gaining new perspectives – both literally and figuratively!

As a huge Formula 1 fan, I never miss a race, finding inspiration in the precision, speed, and teamwork that defines the sport. In my downtime, I enjoy staying active through badminton, jogging, or hiking, often in the company of family and friends.

My approach to life is simple yet profound: "To Have NO Regrets and Make Your Story a Beautiful One." This philosophy drives me in both my personal and professional endeavors, pushing me to take calculated risks and embrace new challenges—whether it's implementing novel AI architectures or exploring uncharted territories in machine learning research.

In the realm of AI and data science, I'm passionate about translating complex theoretical concepts into production-ready solutions that drive real business value. I believe that the true power of AI lies not just in its technical sophistication, but in how we architect systems that are scalable, reliable, and aligned with human needs.

I'm excited about the future of Artificial General Intelligence and the convergence of multiple AI domains—from computer vision and NLP to robotics and edge computing. Whether it's developing next-generation RAG systems, optimizing LLM performance, or pioneering novel multi-agent architectures, I'm committed to pushing the boundaries of what's possible with AI technology.