About

Shashank Kamath is a highly skilled Software Development Engineer II at Amazon with a Master's degree in Computer Engineering, specializing in Machine Learning and Computer Networks. He is proficient in several programming languages and libraries, including Python, C, MATLAB, Pytorch, Keras, Scikit, Numpy, Pandas, GitHub, and SQL. He is also experienced in working with various software, including UNIX, Windows, VM VirtualBox, Pycharm IDE, Spyder IDE, Jupyter Notebook, Google Colab, and Linux. Shashank has a strong understanding of network technologies such as OSI, TCP/IP, VPN, UDP, HTTP, SSH, TelNet, DHCP, ARP, VLAN, RIP, OSPF, BGP, NAT, IPv4 IPv6, and Ethernet. He is currently pursuing certifications in Docker and Kubernetes and has completed the Deep Learning Specialization offered by DeepLearning.ai on Coursera. Throughout his academic and professional career, Shashank has gained relevant experience in data structures, analysis of algorithms, data mining and analysis, machine learning, neural networks, computer communication and networks, and design and analysis of networks. He has worked as a Graduate Teaching Assistant for the course ECEN 602 - Computer Communication and Networks and as a grader for the course ECEN 248 - Introduction to Digital System Design at Texas A&M University. Shashank's technical skills include software engineering, machine learning, SQL, Jupyter, Keras, AI, deep learning, Scikit, Python, Kubernetes, Docker, Pandas, and neural networks. He is passionate about exploring new technologies and applying them to solve real-world problems. Shashank's Github profile showcases his impressive portfolio of projects that demonstrate his technical expertise. Overall, with 2.78 years of relevant experience, Shashank Kamath is a talented and dedicated software development engineer with a strong background in computer engineering and machine learning.