Yelaman Abdullin is a Senior Software Engineer on an AI team in Sydney with 11 years of experience bridging .NET engineering and applied machine learning. He has moved from full-stack and backend roles into research-driven NLP and generative AI, building production systems such as an address-matching Seq2Seq pipeline deployed with TensorFlow Serving and Docker. Yelaman has led teams and architectural migrations as a CTO, improving IoT time-series performance by up to 300% via PostGIS and TimescaleDB, and has delivered scalable backend and algorithmic work for Web3 trading platforms. Comfortable across cloud, CI/CD, and model deployment, he combines academic research experience (PhD-level study and published work) with hands-on product delivery. Notably, his career reflects a steady shift from enterprise .NET systems to building robust ML-infused services that operate at scale.
11 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at L.N.Gumilyov Eurasian National University
Master’s Degree, Software Engineering, Master’s Degree, Software Engineering at Kazan State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Macquarie University
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