Abdul Moiz

AI/ML engineer with hands on experience across the full model lifecycle, from data preprocessing and feature engineering through training, evaluation, and production deployment. At Kinetiq, I have designed and deployed classification, NLP, and RAG based models into production using Python, PyTorch, scikit-learn, and Hugging Face Transformers, and built MLOps pipelines with Docker, Kubernetes, MLflow, and FastAPI to package and serve them, alongside work on AWS SageMaker, Azure Machine Learning, and Google Vertex AI. I have set up post deployment monitoring for drift, latency, and output quality, and prototyped AI solutions including a hybrid recommendation engine and a multi tenant RAG platform, giving me direct experience turning real business problems into working, production ready systems.