A self-motivated Machine Learning & Deep Learning Engineer who works hard to develop AI systems to solve real-world problems ranging from self-driving cars to precision agriculture, from personalized education to personalized medicine by leveraging state of the art tools and techniques in the Artificial Intelligence field. Strong expertise with building Machine Learning models for Object Recognition, Detection as well as Segmentation. Have a keen learning interest in Generative models as well as Reinforcement learning. Enthusiast of doing Research in Computer Vision, Machine Learning, and Deep Learning. I’m particularly passionate about ‘AI’ and eager to polish my skills in • Machine & Deep Learning • Computer Vision • Data Science • Robotics & IoT Technologies & Frameworks: Python, JavaScript, Java, C#, Tensorflow, Keras, PyTorch, MXNet, GluonCV, Darknet, OpenVINO, ONNX, Scikit-learn, OpenCV, NVIDIA TensorRT, NVIDIA DeepStream, Pandas, Numpy, Scipy, NLTK, Seaborn, Matplotlib, Plotly, Folium, Geopy, BeautifulSoup, Spyder, Selenium, JSON, Flask, Git, Jupyter, AWS Kinesis Video Streams, AWS SageMaker, AWS EC2, AWS S3, Docker, Visual Studio, PyCharm, Android, Xamarin, ElectronJS, Linux, Windows.
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