Jason Kishore Mohan Raj

AI Engineer with a focus on Artificial Intelligence and Machine Learning, currently pursuing an MSc at Queen Mary University of London. Strong academic background in computer vision, natural language processing, and time-series forecasting. Experienced in developing and implementing end-to-end machine learning models. Proficient in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn. Practical knowledge of tools like Docker, Streamlit, and MLflow. Demonstrated success in diverse AI projects, including emotion classification and chatbot development. Committed to creating scalable, ethical, and data-centric solutions.

• Graduated in the top 10% of the B.E. Electronics and Communication Engineering class, 2023
• Developed and deployed a CNN-based human emotion classifier using TensorFlow and Django as a final-year project
• Built an AI chatbot using IBM Watson to automate banking customer service interactions
• Leading MSc dissertation research on the correlation between GDP and bank credit in European economies using advanced econometric models
• Successfully deployed machine learning applications using Streamlit and Flask, including interactive dashboards and user interfaces
• Automated data pipelines with Python for preprocessing large-scale datasets in NLP and computer vision projects
• Earned multiple certifications in machine learning, time series forecasting, and deep learning
• Tracked model performance and tuning using tools like MLflow and Weights & Biases
• Presented research findings at university seminars, with a focus on reproducibility and interpretability in machine learning

• Contributing to open-source AI tools and small GitHub projects
• Watching and analyzing sci-fi and psychological thrillers
• Exploring music across genres, especially ambient and classical
• Reading about the intersection of tech, economics, and global cultures