Krishna Shinde

Background

About Krishna Shinde

Experienced AI Team Lead and AI Researcher with a proven track record of developing, deploying, and advancing cutting-edge machine learning and AI solutions. Promoted from ML Engineer at Enkefalos Technologies, I now lead a talented team of engineers to deliver innovative AI products and drive strategic initiatives. My technical expertise encompasses data preprocessing, feature engineering, and model optimization, leveraging frameworks such as TensorFlow and PyTorch. I have in-depth knowledge of neural networks, deep learning architectures, and natural language processing, allowing me to architect robust, scalable AI systems. Alongside my leadership responsibilities, I actively contribute to AI research in structured reasoning, Theory of Mind (ToM), and abstraction and reasoning capabilities in large language models (LLMs). My recent publications on arXiv and presentations at the ICLR 2025 Re-Align Workshop explore model robustness under noise, next-token prediction in ToM tasks, and representation alignment across language models and agents. In my current role, I mentor and guide a cross-functional team, translate complex business requirements into end-to-end ML pipelines, and ensure best practices in model development and deployment. By fostering a collaborative and growth-oriented culture, I help the team deliver actionable insights that enhance decision-making and drive innovation. A lifelong learner, I stay at the forefront of ML and AI advancements through active participation in online communities and conferences. Driven by excellence and impact, I am committed to creating intelligent systems that solve real-world challenges and shape the future of AI.