About

Sudheer Raja is a highly skilled Machine Learning Engineer and Software Engineer with almost 5 years of experience in the field. He is currently seeking opportunities in Machine Learning Engineering and Software Development positions. Sudheer has a Master's degree in Computer Science from the University of Texas and a Bachelor's degree in Information and Communication Technology from Shanmugha Arts, Science, Technology and Research Academy. Sudheer has a strong technical background in programming languages such as Python, MATLAB, and C++. He is proficient in Machine Learning Frameworks including Tensorflow, Keras, TFLearn, PyTorch, Weka, OpenAI Gym, OpenVino toolkit, and Scikit-Learn. He also has experience in Image-Processing Libraries such as OpenCV, PIL, and Scikit-Image, and Databases such as MySQL, Google Firebase, and MS SQL Server. Sudheer is skilled in Data-Processing Libraries including Numpy, Pandas, Matplotlib, and Plotly, as well as Distributed Computing Libraries such as Horovod, OpenMPI, and MPICH. He is also experienced in Cloud Computing Services including Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, and Version Control Systems such as Git, Gitlab, Github, Jenkins, and SVN. Currently, Sudheer is working as a Machine Learning Engineer at techcomb, where he has used Tensorflow, Keras, and OpenCV frameworks in Python and C++ to design, develop, and evaluate an object detection-based sorting conveyor system. He has also prototyped various Computer Vision (CV) and Natural Language Processing (NLP) models using various techniques such as Supervised, Semi-supervised, Self-supervised, and Unsupervised. In the past, Sudheer has worked as a Research Assistant at the University of Texas at Arlington, where he designed and built a High-Performance Multi-node Multi-GPU cluster that supports distributed DNN model training in Tensorflow and Keras. He has also worked as a Machine Learning Intern at UT Arlington Research Institute (UTARI), where he worked on the Adaptive Robotic Nursing Assistant (ARNA) project to develop a face tracking-based navigation system for Personal Robot 2 (PR2). Sudheer has excellent leadership skills and an excellent GPA of 3.75/4.0. He is a highly motivated individual with a passion for Machine Learning and Software Development. Sudheer's technical skills and