Summary
Anukul Parajuli is an AI Engineer with eight years of experience blending deep learning, reinforcement learning, and systems thinking to build practical ML solutions. He holds an MTech in Computer Science from IIT Madras and has published work on optimizing virtual network embedding in simulated 5G cores while exploring LLM-driven network configuration generation. His projects span Large Language Models, Graph Neural Networks, and RL for both optimization and generative tasks, and he has visualized AI algorithms in Unity using C# to make complex behavior tangible. Currently at the Centre for Responsible AI, he’s developing an automated evaluation tool that leverages open-source LLMs to assess conversational agents. Known for rapid learning and curiosity about low-level system behavior, he brings a rare mix of research rigor and applied engineering to networking and conversational AI problems.
8 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Madras
Computer Engineering Computer Science, Computer Engineering Computer Science at Kathmandu University (KU)
Ambition Academy
English, Nepali, Hindi