Rahul Vishwakarma is a Senior Researcher based in California with 11 years of hands-on experience applying deep learning, computer vision, and sensor-fusion analytics to industrial asset management and situational awareness. He leads research-to-production efforts at Hitachi America, driving visual inspection and industrial metaverse projects that span large-scale data curation (30TB) and commercialization across critical infrastructure and pipeline inspection opportunities. Rahul combines first-principles design with cross-functional leadership—setting technical direction, securing stakeholder buy-in, and turning pilots into deployed solutions, including a granted patent for OCTG asset identification. His background fuses academic rigor from UCSB bio-image analysis with industrial-scale systems engineering at HP and DXC, from GPU-accelerated sensor analytics to cloud-native microservices. Notably, he has proven the business case for multi-billion-dollar asset problems via PoCs and piloted vision transformer and CNN models on massive real-world datasets. He is motivated to advance ethical, practical AI building blocks that bridge people, processes, and technology.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at University of California, Santa Barbara
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Rahul Vishwakarma - Senior Researcher at Hitachi America Ltd.