Hafiz M. is a highly skilled AI/ML and Computer Vision Engineer with hands-on experience in generative AI, agentic systems, and Retrieval-Augmented Generation (RAG) pipelines. With a BS in Software Engineering from Riphah International University and additional certification in Generative AI using LangChain and HuggingFace, Hafiz brings strong technical and practical expertise. His professional journey at Xpl Services includes roles as Associate AI Engineer, Junior AI Engineer, and AI Intern, where he has collaborated with international teams to design, train, and deploy scalable AI pipelines. He is proficient in Python, Git, NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow, Keras, deep learning models such as CNN, LSTM, RNN, and NLP techniques. Hafiz excels in working with modern generative AI technologies such as LLMs, LangChain, LangGraph, RAG, LoRA, and Unsloth, as well as computer vision tools like YOLO, U-Net, Attention U-Net, and OpenCV, with notable achievements in medical imaging and multimodal systems. His projects demonstrate high expertise in fine-tuning large language models including LLaMA, Mistral, Qwen, and GPT-OSS, building RAG systems using LangChain, Qdrant, FAISS, Pinecone, and deploying solutions leveraging FastAPI, REST APIs, and Lambda Labs H100 GPU clusters. Hafiz also possesses solid soft skills such as communication, leadership, and working under pressure, and is passionate about advancing AI through cutting-edge research and real-world problem-solving with a focus on intelligent, autonomous, and human-centered systems.