A distinguished Applied Scientist and AI Researcher with more than 6 years of diverse experience in the field. Holds a strong background in programming and computing concepts, having worked with languages such as Python, C++, SQL, and Java, along with libraries like Pandas, NumPy, Matplotlib, SciPy, TensorFlow, and SkLearn (Scikit-Learn). • Research Paper: Automated Diagnosis of Fluency Disorder Cluttering (1 of the 2 papers on Earth). • Notable Projects: AI-based General Physician, Object Detection & Recognition, and Femur Bone Analysis. • Tools and Frameworks: Google Collab, AWS, Jupyter, ROS 1, ROS 2, Unity, VS Code, Node.js, Spark, and Hadoop.Specialized In - Audio Signal Processing, Speech Recognition, Neural Networks, Reinforcement Learning, Graph Neural Networks, Bayesian Statistics, Bonferroni Correlation, Classifier & Regressor (KNN, Random Forest, GBoost, XGBoost), Clustering (K-means, Spectral), PCA, Natural Language Processing, Robotics, and other Machine learning algorithms. In short, a dedicated scientist with profound knowledge of Machine Learning, AI Applications, and Research with PhD in Computer Science (AI). An invaluable asset to any organization looking to innovate and make significant progress in the field.