Roshan K. is an accomplished Machine Learning Engineer with over four years of hands-on experience in Python-based systems, specializing in Large Language Models and Generative AI. His expertise extends across a wide array of technologies including JavaScript, Python, Node.js, React, Redux, Express, Django, Flask, FastAPI, Selenium, Scrapy, and Shopify. Roshan is highly skilled in databases like MySQL, PostgreSQL, and MongoDB, and has significant experience with AWS and Google Cloud Platform (GCP) services such as App Engine, Cloud Build, Cloud Run, and Amazon Lex. He is proficient in using Docker, GitHub, CI/CD pipelines, HTML, CSS, and advanced machine learning frameworks including OpenAI, Hugging Face Transformers, llama_cpp, LangChain, LlamaIndex, and PydanticAI. Roshan has successfully designed, trained, deployed, and monitored ML and LLM-powered applications, often implementing Retrieval-Augmented Generation pipelines and multi-agent systems. He has demonstrated leadership by managing teams, mentoring junior developers, and architecting scalable solutions, while also adhering to Test-Driven Development, Behavior-Driven Development, Agile methodologies, and SOLID principles. With extensive experience developing robust, scalable applications, contributing to projects such as LabCorp and Athlete Studio, and leveraging tools like Trello, Jira, and ClickUp, Roshan K. is a resourceful and collaborative engineer ideally equipped for innovative AI-driven product development.