Khayam Anjam

Khayam Anjam is a highly skilled professional with a Master's degree in Computer Engineering and a strong background in Data Analytics and Machine Learning.

His expertise includes working with various machine learning algorithms such as Supervised, Unsupervised, and Reinforcement Learning, as well as tools like Auto-Encoders, Generative Adversarial Networks, K-mean, CNN, RNN, LSTM, ResNet, and Feedforward neural networks.

Khayam also possesses significant experience in cloud virtualization technologies such as OpenStack, Google Cloud, AWS, and ESXi, as well as Software-Defined Networking (SDN) and Network Functions Virtualization (NFV).

With proficiency in programming languages like Java, Python, and C++, Khayam Anjam has made contributions to the open-source community.

His educational background includes studies in Electrical and Computer Engineering with a focus on Computer Engineering at Clemson University, and a Bachelor's degree in Information and Communication System Engineering with a concentration in Communication Systems from the National University of Sciences and Technology.

Throughout his career, Khayam has held positions such as Senior Systems Development Engineer at Dell, Engineering Intern at Big Switch Networks, Graduate Research Assistant at Clemson University, Member Of Technical Staff at xFlow Research Inc., and Intern at IEEE.