Yevheniia Tuholukova is a software engineer with eight years of experience building systems across C++-based embedded projects, machine learning research, and full-stack web applications. She has transitioned from low-level audio HAL work and path prediction models to designing cloud-native microservices that integrate ML models and analytics dashboards for medical diagnostics. Her recent roles involved end-to-end responsibilities—API design with FastAPI, AWS infrastructure, ELK-based observability, and data integrations with ad and social APIs—showing strength in both research and productionization. Comfortable across Python and C/C++, she pairs academic training in AI with practical software architecture skills from UNIT Factory. Based in Kyiv, she is open to moving into product or service companies where she can fuse ML insights with product-focused engineering. A detail that sets her apart is her proven ability to pivot between deep technical domains (embedded C++) and high-level system design while owning monitoring and cloud operations.
8 years of coding experience
6 years of employment as a software developer
Software Architect, Software Architect at UNIT Factory (42 school)
Contributions:31 commits, 25 pushes, 1 branch in 19 days
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