Summary
Alexander Abugaliev is a Lead Machine Learning Engineer with a decade of experience building production AI systems, currently leading a cross-functional squad at Контур to deliver an enterprise self-service RAG platform. He brings deep hands-on expertise in Python, PyTorch, TorchScript, Docker and occasional C, with a focus on NLP and ASR and practical familiarity with CV. His background spans ASR pipeline optimization, NER, spelling correction, summarization and vector search engineering, pairing research instincts with production-grade delivery. Alexander bridges ML R&D and backend engineering across hybrid Python/C# stacks, hiring and mentoring engineers while contributing to core code and architecture decisions. Based in Phuket, he combines academic foundations in computer science and applied mathematics with real-world experience shipping voice and language products at companies like Replika and Контур. An engineer who prefers solving performance and integration challenges, he often surfaces non-obvious trade-offs between model choice and operational cost when designing solutions.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science and Engineering, Bachelor of Science (BS) Computer Science and Engineering at Innopolis University
Master of Science (M.S.) Applied mathematics, Master of Science (M.S.) Applied mathematics at Tomsk Polytechnic University
Russian, English