About Me
I'm an AI Architect and enterprise systems specialist with 17+ years of experience building intelligent, scalable solutions that solve real-world challenges.
What I Do
I specialize in designing and implementing AI-powered systems for enterprise environments. My work focuses on agentic AI, multi-agent orchestration, RAG systems, and LLM-based solutions using platforms like OpenAI, Anthropic Claude, and Google ADK.
Currently, I'm building internal AI agents and tools that integrate with GitLab, Jira, Confluence, ServiceNow, and various database systems. I've architected production-ready solutions including automated code reviewers, change request creators, and intelligent chatbots that enhance developer productivity and operational efficiency.
Knowledge Sharing
I'm passionate about education and community contribution. I've delivered over 17 sessions on AI-related topics and conducted multiple workshops on Prompt Engineering, AI Agents, and Agentic AI design. Teaching helps me refine my understanding and contribute to the broader AI community.
Background
My journey spans full-stack development, cloud architecture, and now AI/ML systems. I hold a Post Graduate Diploma in Machine Learning and Artificial Intelligence from NIT Warangal, along with certifications in AWS Solution Architecture, TOGAF Enterprise Architecture, and Docker.
I've worked with leading organizations including Fiserv, CGI, and Capgemini, where I've led cloud migrations, designed microservices architectures, and implemented DevOps practices that significantly improved system reliability and deployment efficiency.
This Website
I write about AI/ML, agentic systems, prompt engineering, enterprise architecture, and the practical challenges of implementing AI in production environments. My goal is to share what I learn, document patterns that work, and contribute to conversations about responsible AI development.
If you're working on similar challenges or want to discuss AI architecture, feel free to reach out. I'm always interested in connecting with fellow practitioners and learning from different perspectives.