Sudheer Raja is a software engineer with 9 years of experience specializing in machine learning engineering, computer vision, and distributed deep learning systems, currently building software at Capital One. He has a proven track record of translating research into production: designing a multi-node multi-GPU cluster that sped training threefold and delivering an object-detection sorting system that boosted accuracy by 25% and throughput threefold. Comfortable across the ML stack, he implements models in TensorFlow, PyTorch and Keras, optimizes inference with TensorRT, and runs scalable training on AWS, Azure and Horovod-enabled clusters. His background spans data engineering (Spark, Pyspark, HDFS), embedded C++/Python development, and applied robotics research, reflecting both academic rigor (MS CS, 3.75 GPA) and hands-on product impact. Known for improving system performance end-to-end, he blends experimentation, cloud engineering, and optimization to move ML prototypes into reliable production.
9 years of coding experience
6 years of employment as a software developer
Intermediate, M.P.C, Class 11 & 12, Intermediate, M.P.C, Class 11 & 12 at Narayana Juinor College
Master's degree, Computer Science, 3.75, Master's degree, Computer Science, 3.75 at The University of Texas at Arlington
Bachelor's of technology, Information and Communication Technology, 7.48, Bachelor's of technology, Information and Communication Technology, 7.48 at Shanmugha Arts, Science, Technology and Research Academy
S.S.C, S.S.C, 10th, S.S.C, S.S.C, 10th at Vasavi Concept School
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