Razvan Dorobantu is a software engineer based in Bucharest with four years of professional experience building C/C++ systems at Thales and contributing backend improvements to high-profile open-source projects like Goldman Sachs' gs-quant. He combines a solid academic foundation—a BSc in Computer Science and an ongoing MSc in Graphics, Multimedia and Virtual Reality—with practical expertise in backtesting engines, filtering logic, and API documentation. Comfortable working on performance-sensitive code, he has applied quantitative-finance tooling patterns to robust backend development. Known for quietly bridging rigorous engineering with clear documentation, he brings both systems-level thinking and a curiosity for applied graphics and VR.
4 years of coding experience
Master's degree, Graphics, Multimedia and Virtual Reality, Master's degree, Graphics, Multimedia and Virtual Reality at Universitatea POLITEHNICA din București
Contributions:47 releases, 3 commits, 3 PRs in 4 months
Contributions summary:Razvan primarily contributed to back-end functionalities, particularly focusing on backtesting changes within the `gs-quant` Python toolkit. Their work involved modifying core backtesting engine components, specifically within the `gs_quant.backtests` module. They also made changes related to filtering logic for backtesting results and version updates. Further contributions included modifying and extending the API documentation.
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