My focus is on reshaping the landscape of AI by leading the development of cutting-edge Quantum AI solutions. Currently, I'm actively involved in shaping and executing our technology strategy, ensuring seamless integration of advanced analytics into our products and services.As Head of AI, I lead our teams in researching, developing, and implementing Quantum AI algorithms and models. Our aim is to achieve breakthroughs in machine learning, optimization, and data processing. Collaboration with quantum computing experts is integral to our efforts to stay at the forefront of technology.

As a Deep Learning Intern, I will be at the forefront of cutting-edge projects, utilizing Google Coral Edge TPU for the deployment of high-performance YOLOv8 (You Only Look One-level v8) models within a Big Data framework. My role involves optimizing YOLOv8, advancing generative adversarial networks (GANs), and refining facial recognition models for efficient and powerful deployment on edge devices.Key Responsibilities:YOLOv8 Optimization and Edge Deployment:Utilize advanced tools in Python, such as Numba and Cython, for optimizing and accelerating YOLOv8.Implement and fine-tune YOLOv8 models for deployment on Google Coral Edge TPU, ensuring real-time object detection capabilities at the edge.Generative Adversarial Networks (GANs):Harness the power of TensorFlow Extended (TFX) for deploying GAN models on edge devices with Google Coral Edge TPU.Implement advanced feature engineering using Coral Edge TPU to enhance the efficiency and speed of synthetic data generation.Facial Recognition Networks:Integrate facial recognition models with Google Coral Edge TPU for efficient processing and real-time recognition on edge devices.Leverage Coral Edge TPU to optimize facial recognition algorithms within a Big Data context.Research Article Development:Utilize Coral Edge TPU for accelerating the processing of research articles, ensuring quick access to the latest advancements in deep learning.Implement efficient storage and retrieval of research articles using edge computing principles for rapid insights extraction.Qualifications:I have advanced knowledge of Python and proficiency in utilizing tools such as Numba, Cython, and Dask.Experience with Big Data technologies, including Apache Spark, Apache Hadoop, and Apache HBase.A strong background in machine learning/deep learning frameworks, with expertise in PyTorch and TensorFlow. deploying models on edge devices, specifically utilizing Google Coral Edge TPU for optimal performance.

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