Architecting Next-Generation AI Solutions & Multi-Agent Systems
Senior AI Engineer with 10+ years of progressive experience spanning cutting-edge AI development, machine learning research, and enterprise data analytics. Currently architecting scalable GCP-based RAG systems and multi-agent AI solutions at SQOR.ai, while holding a Master's in Applied Data Science from San Jose State University.
I specialize in Generative AI, Agentic RAG architectures, and Large Language Model Operations (LLMOps), having deployed 13 specialized AI agents and pioneered proprietary semantic chunking algorithms that significantly improved data retrieval accuracy. My expertise spans the complete AI/ML lifecycle—from research and development to production deployment and optimization.
My unique blend of cutting-edge AI innovation and business acumen has consistently delivered measurable impact: from developing Edge AI systems with 90.71% model compression for IoT deployment to achieving 34% increase in business metrics through advanced analytics. I excel at translating complex AI concepts into production-ready solutions that drive real business value.
With published research in IEEE journals and international conferences, including breakthrough work on deep learning for healthcare applications and novel oversampling techniques, I bring both theoretical depth and practical implementation expertise to AI challenges across healthcare, finance, and emerging technologies.
🚀 Ready to architect your next AI breakthrough? Let's discuss how advanced AI solutions can transform your business.
Key roles and transformative career progression
SQOR.ai - Building next-generation multi-agent AI systems with 13 specialized agents deployed across 40+ SaaS tools. Leading development of RAG architectures and LLMOps infrastructure for enterprise-scale AI solutions.
San Jose State University - Edge AI research with breakthrough 90.71% model compression. Published 2 IEEE papers and delivered technical presentation at Google San Diego. Advanced TinyML implementations for healthcare applications.
State Bank of India - Delivered $2.5B+ portfolio growth through advanced analytics and machine learning models. Achieved 34% increase in loan penetration and led digital transformation initiatives across multiple business units.
State Bank of India - 10-year progressive career in banking, finance, and risk management. Built strong foundation in business analysis, regulatory compliance, and stakeholder management that informs current AI leadership approach.
DIVERSE EXPERIENCE FOR CHALLENGING PROBLEMS
Python
AWS
Google Cloud Platform
MySQL
MongoDB
Tableau
Power BI
Grafana
TensorFlow
PyTorch
Spark
Hadoop
GitHub
Jupyter
Google Colab
Databricks
Pandas
NumPy
Architected and deployed 13 specialized AI agents using LangGraph framework, revolutionizing conversational AI solutions for 40+ integrated SaaS tools with proprietary semantic chunking algorithms.
Developed innovative Edge AI-powered blood pressure monitoring system achieving 90.71% model compression while maintaining exceptional accuracy (MAE: 6.36 mmHg systolic, 4.09 mmHg diastolic).
Published cutting-edge research in IEEE COMPSAC 2024 and Electronics (MDPI) 2025, advancing machine learning techniques for healthcare applications and imbalanced datasets.
Delivered 34% increase in loan penetration through advanced analytics and managed $2.5B+ portfolio growth. Led digital transformation initiatives resulting in 21% customer satisfaction improvement.
Engineered GCP-based data pipelines processing documentation from 40+ SaaS tools, implementing LLM-as-a-Judge evaluation systems for production AI deployment at enterprise scale.
Recipient of RSCA Research Grant 2024 and recognized for pioneering contributions to multi-agent AI systems, TinyML implementations, and healthcare AI applications.
An AI-powered tool that extracts information from invoices in multiple languages using Google's Gemini Pro Vision model.
A Streamlit application that streamlines the hiring process by evaluating resumes against job descriptions using Google Gemini Pro API.
A comprehensive cloud-based ETL and analytics project providing valuable insights into the data analyst job market using Google Cloud Platform.
Sophisticated AI system using specialized agents for high-quality, factual responses with hallucination detection and web search integration.
Healthcare application using Google Gemini Vision Pro to analyze fetal ultrasound images and generate comprehensive medical reports. Features live demo video!
Comprehensive sentiment analysis combining web scraping and NLP to extract actionable insights from customer reviews.
Quantified achievements and business outcomes
Production-ready multi-agent systems
Edge AI optimization breakthrough
Banking sector achievements
AI/ML & Analytics expertise
IEEE COMPSAC & MDPI Electronics
Loan penetration increase
Integrated platforms
Exploring cutting-edge AI research and sharing insights with the community
Retrieval Augmented Generation (RAG) systems have revolutionized how we access and synthesize information. By combining the power of large language models with comprehensive reranking strategies.
Comprehensive analysis of Agent-R framework that enables AI agents to critique their own actions and rewrite trajectories while performing tasks through self-correction mechanisms.
What colleagues and industry experts say
"Anbu's expertise in AI is exceptional. His work on our multi-agent RAG systems has been instrumental in achieving enterprise-scale AI deployment."
"Anbu's research on Edge AI has been remarkable. His work on MIMIC IV waveform database for live blood pressure monitoring has been exceptional. He has also published 2 papers and given technical talk at Google San Diego for his work on Edge AI."
"His leadership in digital transformation initiatives resulted in significant business growth. Anbu combines technical excellence with strategic business insight."
Currently driving innovation as a Senior AI Engineer at SQOR.ai and open to exploring transformative opportunities in AI/ML engineering, research collaboration, and consulting projects. I specialize in building production-ready AI systems that solve complex business challenges.
Expertise Available: Multi-agent AI architectures, Generative AI solutions, RAG systems, LLMOps, Edge AI deployment, and scalable cloud infrastructure.
Specializing in next-generation AI solutions including multi-agent systems, advanced RAG architectures, and LLM optimization
Open to research collaborations, publication opportunities, and consulting on cutting-edge AI/ML projects