Architecting enterprise AI and cloud solutions that bridge cutting-edge technology with real-world business impact. Specializing in GenAI platforms, intelligent data systems, and production ML infrastructure that deliver scalability, reliability, and operational excellence at enterprise scale. From concept to deployment, I design systems that evolve with your organization's needs while maintaining performance and security standards.
Enterprise-ready designs for real-world AI systems
Multi-layer RAG architecture combining Azure AI Search hybrid retrieval with intelligent semantic caching for enterprise document Q&A. Features advanced re-ranking, streaming responses, and cost-optimized LLM operations achieving 50-70% reduction in API calls.
Multi-agent AI orchestration platform that transforms natural language into actionable insights across SQL, NoSQL, and unstructured sources. Features self-healing query correction, autonomous validation, and intelligent visualization with enterprise governance achieving 95% accuracy.
Intelligent multi-model orchestration for cross-industry analytics with cost-optimized AI routing. Features unified semantic layer, automated KPI discovery, predictive forecasting, and smart caching that reduces operational costs by 75% while delivering instant insights across any industry.
Universal AI-powered document extraction and automation platform with 99%+ accuracy. Enterprise-grade OCR processing invoices, contracts, forms, receipts, IDs, and medical records across any industry. Features human-in-the-loop validation, seamless ERP integration, and complete compliance with GDPR, HIPAA, and SOX.
I'm an AI & Cloud Solutions Architect specializing in production-grade AI systems that transform businesses. My focus is on designing scalable architectures that combine cutting-edge AI capabilities with robust cloud infrastructure, ensuring performance, security, and cost efficiency at enterprise scale.
With a foundation in Electrical & Computer Engineering, specializing in Machine Learning, Deep Learning, and Neural Networks, I bridge theoretical AI research with practical business applications. My expertise spans the complete AI lifecycle—from architecture design and model selection to MLOps implementation and production deployment.
I'm passionate about building AI systems that deliver measurable business value while maintaining operational excellence. Whether it's implementing GenAI applications, designing data platforms, or optimizing cloud infrastructure, I focus on solutions that scale efficiently and evolve with your organization's needs.
GenAI applications, LLM orchestration, RAG systems, agentic AI, and production ML pipelines with MLOps best practices
Enterprise-scale Azure and AWS solutions, serverless architectures, microservices, and cloud-native application design
CI/CD automation, Infrastructure as Code, Kubernetes orchestration, and production deployment strategies
Interested in discussing AI architecture, cloud solutions, or exploring collaboration opportunities? I'm always open to connecting with fellow technologists and business leaders.