David Stankov is a Data Scientist and Machine Learning Engineer with 10 years of software engineering experience, blending deep mathematical foundations (linear algebra, calculus, tensor analysis) with practical expertise in Python, Java, NLP, computer vision, and knowledge graphs. Based in Sofia, Bulgaria, he has progressed from senior software development to leading ML work at Identrics, where he now focuses on integrating knowledge bases with generative AI to build RAG systems, semantic search, and advanced information retrieval. His background in theoretical quantum space physics hints at a strong analytic mindset that informs his approach to complex model design and representation learning. Known for shipping production-ready solutions across enterprise and product-focused teams, he brings both research-oriented thinking and pragmatic engineering to bridge knowledge-driven architectures and generative models.
10 years of coding experience
8 years of employment as a software developer
Quantum space Theoretical physics, Quantum space Theoretical physics at Sofia University St. Kliment Ohridski
Python package for calculation and simulation of n-bodies interaction.
Contributions:69 commits, 25 PRs, 135 pushes in 1 year 4 months
pythonsimulationgravityleapfrogn-body-simulator
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