Nirav Dedhiya is a Senior Data Science Engineer specializing in AI/ML with eight years of hands-on experience building production-grade models and services from research to deployment. Based in the Greater Seattle Area, he has advanced through roles at Fluke Corporation where he developed image- and NLP-driven asset-linking systems, CI/CD pipelines, and AWS-deployed web services that scaled to thousands of assets. His background blends deep learning (ResNet, TensorFlow, PyTorch, MXNet), vector search (HNSW), and NLP (SpaCy, OCR, Vosk) with practical engineering—databases, Flask/React apps, and DevOps—to turn proofs of concept into reliable products. Nirav’s work has produced high-accuracy solutions (e.g., ~97% image similarity, ~95% OCR) and he pairs research curiosity with an engineer’s discipline for testing and deployment. Outside work he recharges hiking, hinting at a methodical, step-by-step approach to mastering complex problems.
8 years of coding experience
2 years of employment as a software developer
Senior Secondary School Science, Senior Secondary School Science at SSV GYAN KENDRA CBSE School
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Gujarat Technological University (GTU)
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
Contributions:72 pushes, 1 branch in 1 year 9 months
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