Senior software engineer with ten years experience. Focus on backend and special interest in all things generative AI

Agentic workflows, MCP, human in the loop workflows

I’m a Computer Science student at Dublin City University, passionate about machine learning—especially deep learning and neural networks. I enjoy exploring how layered models learn from data to solve complex problems, from image recognition to language processing. I’m constantly expanding my skills through hands-on projects, online courses, and hackathons, and I’ve started working with tools like TensorFlow, PyTorch, and scikit-learn. I'm also learning how to deploy ML applications and use tools like Docker and APIs. I’m keen to explore AI’s real-world impact in areas like healthcare and accessibility, and I care deeply about building responsible, ethical systems. I’m curious, adaptable, and excited to contribute to the future of intelligent technology.

I'm interested in machine learning, neural networks, and large language models (LLMs). I’m currently learning about how models like GPT and Claude work, and I’m excited to explore agentic AI, prompt engineering, and generative AI applications. Open to collaborating on projects involving LangChain, applied ML, or AI for healthcare, physics, or education. Always eager to learn from active builders.

Currently, Sujay Prasad is engaged in the Machine Learning Specialization by Andrew Ng on Coursera, focusing on foundational ML concepts and techniques. He is also actively practicing coding problems through the NeetCode 150 challenge, honing his algorithmic and problem-solving skills primarily using Python. These activities aim to strengthen his technical proficiency in machine learning and algorithms.