Guna Sekhar Venkata Chennaiah Chakka

I am an AI Researcher and Software Engineer with around 1.5–2 years of professional experience in Generative AI, Python, Retrieval-Augmented Generation (RAG), and agentic AI systems. I currently work remotely with Amygda Labs, a UK-based AI company, where I contribute to research and production-oriented product development.

My professional experience includes building end-to-end agentic pipelines for complex railway and airport-related operational use cases. I worked on systems that generated risk insights from recent operational data and classified maintenance alerts to help engineering teams assess issues more quickly. One of these alert-classification systems achieved an 84% success rate compared with human evaluation.

I have also developed and worked on multiple AI proof-of-concept projects, including database-query agents, information-retrieval systems, multimodal RAG applications, computer-vision solutions, and AI-powered applications using LangChain and Python. My work involves converting complex requirements into practical solutions and explaining technical concepts clearly.

I can help learners build a strong foundation in Python, Generative AI, Machine Learning, RAG systems, LangChain, prompt engineering, and practical AI projects. My teaching approach focuses on simple explanations, hands-on coding, real-world examples, and project-based learning. I welcome beginners, students, and working professionals who want to learn AI from the fundamentals or improve their practical skills.