Solution Architect (Data & AI) passionate about ML, AI Agents, LLMs, RAG systems, and building open-source AI ecosystems
Welcome to DISSECT AI! I'm Ramu, a Solution Architect specializing in Data & AI with deep expertise in Machine Learning, AI Agents, Large Language Models, and RAG systems. Through this blog, I share my experiences building production-scale ML systems, developing AI agents, and creating open-source solutions for the AI community.
My mission is to democratize AI knowledge by providing practical insights into ML engineering, LLM applications, RAG implementations, and the rapidly evolving open-source AI ecosystem. I focus on bridging the gap between cutting-edge research and real-world applications that AI builders can implement today.
Designing and implementing ML pipelines, model training, deployment, and monitoring at scale
Building intelligent agents, fine-tuning large language models, and creating conversational AI systems
Implementing Retrieval-Augmented Generation for knowledge-based AI applications and document intelligence
Practical guides on ML algorithms, model training, optimization, and deployment strategies with real-world examples
Building intelligent agents, workflow automation, and autonomous systems using modern AI frameworks
Large Language Model fine-tuning, prompt engineering, and building production LLM applications
Retrieval-Augmented Generation implementations, vector databases, and knowledge-based AI systems
Reviews and tutorials on the latest open-source AI tools, frameworks, and libraries for AI builders
System design patterns for AI applications, scalability considerations, and production best practices
I believe in the power of open-source collaboration and knowledge sharing in the AI community. Whether you're an ML engineer, AI researcher, solution architect, or someone building AI applications, I'd love to connect and learn from each other's experiences in this rapidly evolving field.