Atyab K. is a highly skilled AI Engineer and Data Analyst with over six years of experience across machine learning, deep learning, NLP, computer vision, and large-scale financial data processing. He has demonstrated expertise working with Python, SQL, MySQL, machine learning and deep learning frameworks such as TensorFlow, Keras, and PyTorch, as well as Hugging Face Transformers, NumPy, Pandas, Power BI, DAX, and Lavastorm Analytics. Atyab has built production-grade ML systems including CNNs, EfficientNet, ResNet, transformer-based speech recognition using models like Whisper and SpeechT5, and multi-agent reinforcement learning solutions. He has also excelled in developing explainable AI solutions with Grad-CAM and LIME, building responsive e-commerce web applications, and creating pipelines for data validation and regulatory reporting. His notable projects include VernaVox, an advanced speech recognition system for the Balochi language, YourMunshi, Pakistan’s first AI-powered legal assistant, and research in infrastructure crack detection leveraging computer vision. Atyab's experience spans roles at companies such as Kaizen Reporting, Yimagine, Progneo, Zartex USA, and FD Studio, where he ensured regulatory compliance, architected AI legal solutions, and developed reliable web and IoT systems. His strong commitment to real-world problem solving and cross-functional collaboration is further supported by a background in artificial intelligence from the National University of Modern Languages.