I’m an experienced Machine Learning Engineer and mentor at AR Learnings (www.arlearnings.com), passionate about helping learners master practical AI and data skills. With 7+ years managing ML projects—from predictive modeling and computer vision to MLOps and Agentic AI—I’ve guided professionals and students to break through tough ML problems and build real confidence. Currently, I work at ResMed, building medical report analysis pipelines using Retrieval-Augmented Generation (RAG) architectures along with AWS services. My past roles at Tiger Analytics and Sopra Steria include delivering solutions in time series forecasting, computer vision (YOLO, OCR), credit risk modeling, and customer segmentation. I’ve led enterprise-grade projects in model deployment, real-time inference systems, and autonomous Agentic AI designed for dynamic information retrieval and goal-driven reasoning. Technical expertise: Python, AWS (SageMaker, Lambda, EC2), Azure (Databricks, ML Studio), RAG architectures, Agentic AI systems, TensorFlow, Docker, Kubernetes Certifications & Achievements: - TensorFlow Developer Certificate – Google - 1st Position – Coding Championship At AR Learnings, I make quality education accessible, combining structured courses and hands-on guidance to help you stay ahead in the field. Let’s work together to upskill, master new architectures, and make your mark in AI! Company Website: www.arlearnings.com