Professional Overview
Shaunak Kundu is an aspiring AI Engineer with a strong foundation in computer science and a growing specialization in artificial intelligence, robotics, and intelligent systems. He is deeply interested in how algorithms, data, and software can be combined to build systems that learn, adapt, and solve real-world problems. With hands-on learning experience in Python, C++, data structures, multithreading, and system-level programming, Shaunak is actively exploring areas such as machine learning, robotics kinematics (forward & inverse), automation, and AI-driven decision-making. He enjoys breaking down complex technical concepts into clear logic and continuously works on strengthening his problem-solving and analytical skills. I am motivated by curiosity and long-term vision, aiming to contribute to the development of smart machines, autonomous systems, and next-generation AI technologies. As a beginner evolving into a professional, he believes in consistent learning, experimentation, and practical implementation as the key to becoming a successful AI engineer.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
