Dmitry Menshikov is Head of Machine Learning & Data Science based in Queensland with eight years of cross-disciplinary experience building ML systems from research-grade proofs of concept to cloud and on-premise production. He bridges deep mathematical foundations and practical engineering across classic ML, computer vision, ASR, NLP and big data, leveraging Python, TensorFlow/PyTorch, Spark and modern MLOps tools to deliver scalable search, ranking and inference pipelines. Dmitry has led teams and projects at Blackbook.ai and Alibaba, while teaching machine learning as a lecturer and mentoring students, which keeps him grounded in both theory and talent development. His background in physics and applied mathematics, paired with prior roles in project management and account management, gives him a rare combination of rigor, stakeholder empathy and product focus. Outside core ML he experiments with IoT, Web3 and PCB design, reflecting a hands-on maker mentality that often surfaces in production-facing prototypes.
8 years of coding experience
13 years of employment as a software developer
Master of IT Data Science, Master of IT Data Science at QUT (Queensland University of Technology)
Specialist Applied mathematics physics, Specialist Applied mathematics physics at Moscow Aviation Institute (National Research University)
Data Science Docker Container for Google Cloud, AWS or other instance with GPU
Contributions:1 review, 18 commits, 3 PRs in 1 year 8 months
pythonaws-cloudsciencedata-sciencegpu
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Dmitry Menshikov - Head Of Machine Learning & Data Science