Kannaki kaliyaperumal

AI and Machine Learning Engineer with experience building production-ready ML and LLM systems, focusing on scalable data pipelines, model deployment, and real-world problem solving.

Hands-on experience designing, training, evaluating, and deploying end-to-end machine learning systems in production environments. Built scalable ML pipelines for large-scale video and text data, applied deep learning models for computer vision and NLP tasks, and deployed models as containerized APIs using FastAPI, Docker, and Kubernetes. Strong experience in data preprocessing, feature engineering, model evaluation, and human-in-the-loop optimization, with proven impact in reducing manual workflows and improving system reliability.

Master of Science in Data Science from Luleå University of Technology, Sweden, with a focus on machine learning, data analytics, and applied AI research. 

Bachelor of Engineering in Artificial Intelligence and Machine Learning from Annamalai University, India, building a strong foundation in machine learning algorithms, statistics, computer vision, and NLP.