Andrej Janchevski is a data scientist and AI researcher with eight years of experience, currently applying advanced ML and NLP techniques at Attercop after a PhD in Computer Science from EPFL. His research focused on scalable knowledge graph reasoning and graph generation, delivering a model- and graph-coarsening approach that achieved quadratic speedups in link prediction and query answering with real-world telecom funding and applications. He has practical experience moving research into production on GPU clusters, developing diffusion- and GAN-based graph generators for drug discovery, and supervising student projects on GNNs for combinatorial optimization. Past industry work includes a 700x query-speedup solution at Swisscom and hands-on data consulting for retail analytics, demonstrating an ability to translate academic innovations into business impact. Fluent in PyTorch/PyG, Lightning, and full-stack ML tooling, he blends deep theoretical insight with pragmatic engineering — a researcher who consistently ships scalable, high-performance systems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (Information Science), sub-degree: Computer Science and Engineering, Computer Science, 10.00 / 10.00, Bachelor of Science (Information Science), sub-degree: Computer Science and Engineering, Computer Science, 10.00 / 10.00 at Faculty of Computer Science and Engineering - Skopje
Doctor of Science in Computer Science, Computer Science, Doctor of Science in Computer Science, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
Contributions:1 PR, 6 pushes, 1 branch in 3 years 1 month
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