Highly motivated Machine Learning Researcher with a passion for building innovative solutions using NLP, GNNs, and other AI techniques. Proven ability to conduct research, develop models, and lead teams to achieve outstanding results.Experience:1) Developed and implemented Graph Neural Networks (GNNs) for recommender systems at Siemens Technology, contributing to research publications and winning the Siemens AVISHKAAR Innovation Hackathon.2) Built a knowledge graph from user queries and a Sustainable Decision Recommendation Mechanism (SDeRM) using GNNs.3) Authored research papers on SNeRM (Product Lifecycle Modeling) and Inverse Imaging (high-resolution image reconstruction).Skills:Programming: Python, C, C++, SQL, NoSQLFrameworks/Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, NetworkX, DeepSnap, OpenCVNLP, Reinforcement Learning, Generative AI, ML-OpsLeadership: Led teams to win hackathons and managed project workflows effectively.Excited to connect with other AI enthusiasts and explore new opportunities!