Nikita Elberg
Руководитель проекта
About
Lead and build AI and computer vision solutions that can be taken from concept to real-world deployment. My profile combines a product mindset, strong technical foundations, and hands-on experience in Python development, computer vision, automation, backend systems, and integrations. I am most drawn to projects where the goal is not just to write code, but to create working systems that solve real business problems and deliver measurable results.I am currently developing projects in artificial intelligence and computer vision, including production-grade solutions, data-driven workflows, process automation, and AI tools designed for practical use cases. I know how to connect technology, product logic, and market demands across the full cycle: from prototyping and architecture to implementation, optimization, and scaling. One of my key strengths is turning complex ideas into clear, viable, and effective solutions quickly.My experience includes building internal tools, AI agents, API integrations, backend services, and business process automation, as well as working at the intersection of AI, infrastructure, and technical execution. I perform best in environments that require speed, ownership, systems thinking, and a high level of responsibility. I continue to deepen my expertise in AI, MLOps, Responsible AI, Generative AI, and modern engineering practices, supported by up-to-date certifications and strong hands-on experience in real-world projects.
Kazakhstan
West Kazakhstan Region
Information Technology & Services
Развитие нового бизнеса, Управление проектами, Развитие бизнеса, Автоматизация, Python, Разработка ПО, Служба поддержки, Реклама, Интернет-коммерция, Кибербезопасность, Машинное обучение, Искусственный интеллект, Программирование, Веб-разработка, SMM, Критическое мышление, Менеджмент, Социальные медиа, Видеомонтаж, Системы видеонаблюдения
Experience

Руководитель проекта
SenimAI
Казахстан
End-to-end development of production-grade AI/CV solutions: data collection and labeling, dataset preparation and management, model training, fine-tuning, and optimization, development of validation and inference pipelines, quality analysis, accuracy/latency improvement, and integration of models into product infrastructure
Nikita Elberg's Contact Information
Phone
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