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Susmith Rajendra Barigidad
Susmith Barigidad
is a dynamic software engineer and visionary innovator with a strong foundation in machine learning, computer vision, and cloud-native architecture. With a master’s degree in computer science and a proven track record in designing scalable AI systems, he has led the development of cutting-edge image measurement tools and real-time inference pipelines deployed across distributed environments. Susmith has published peer-reviewed research on deep learning architectures and has served as a judge and reviewer for international journals and conferences. His work spans OCR systems, retrieval-augmented generation (RAG), GPU resource scheduling, and high-performance model deployment using frameworks like FastAPI, Celery, and Triton Inference Server on Azure. Beyond engineering, Susmith is a National Level Table Tennis player. His multidisciplinary perspective informs his unique storytelling and technical writing style. This is his debut as an author, blending hands-on experience with clear, practical insights for engineers, researchers, and aspiring AI leaders.
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