Vijay Dwivedi is an AI/ML consultant and data scientist with two decades of cross-industry experience spanning aviation, engineering, and automation, known for turning complex technical problems into measurable business outcomes. At GE Aerospace he led Analytics-Based Maintenance efforts that increased engine Time on Wing by 20% and developed safety-critical algorithms and NLP tools that reduced manual effort and prevented premature scrapping of components. He combines hands-on expertise in Python, TensorFlow/PyTorch, NLP, Databricks/GCP and edge optimization with practical MLOps experience taking models from prototype to production at scale. Vijay mentors and trains the next generation of AI practitioners while consulting for startups and enterprises on applied GenAI, RAG pipelines, and predictive maintenance. Now focused on Generative AI and automation at scale, he bridges academic research and industry deployment to deliver responsible, production-ready solutions.
10 years of coding experience
18 years of employment as a software developer
MSc, Mechanical Engineering, MSc, Mechanical Engineering at University of Strathclyde
B Tech, Mechanical Engineering, B Tech, Mechanical Engineering at College Of Technology, G.B.P.U.A&T, Pantnagar
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