Summary
Amanuel Wolde-kidan is a Technical Project Lead and data scientist based in Berlin with nine years of experience blending a PhD-level physics background with practical expertise in statistical modeling, scientific software engineering, and data visualization. He has led end-to-end model development and deployment efforts—most recently driving technical projects at Aignostics after architecting company-wide data and model pipelines and delivering an EU-funded automated real estate valuation system at Valyria. Comfortable bridging research and product, he has built open-source Python tools for large-scale simulations and analytics during his academic career and supervised students in computational science. His work emphasizes robust production practices—continuous tracking, model stacking, geodata feature engineering—and reducing noisy experimental data through nonlinear optimization. Colleagues describe him as equally at home in low-level simulation code and in translating complex analytics into business-facing solutions. Based in Berlin, he brings a rare mix of academic rigor and product-focused delivery that accelerates trustworthy, deployable ML systems.
9 years of coding experience
6 years of employment as a software developer
Ph.D. Theoretical Physics, Ph.D. Theoretical Physics at Freie Universität Berlin
Master Thesis Research Project Bioengineering and Biomedical Engineering, Master Thesis Research Project Bioengineering and Biomedical Engineering at Imperial College London
Master of Science - MS Biophysics, Master of Science - MS Biophysics at Humboldt-Universität zu Berlin
Post-Graduate Research Project Oncology and Cancer Biology, Post-Graduate Research Project Oncology and Cancer Biology at Charité - Universitätsmedizin Berlin