Alexandru Valeanu
Quantitative Financial Analyst
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAlexandru Valeanu is a quantitative financial analyst and former Mars atmospheric scientist with 12 years of experience applying numerical methods, AI and data analysis to complex problems. Trained at the University of Oxford (PhD, MPhys), he transitioned from producing multi-year planetary datasets and modelling Martian dust storms to building production-ready quantitative models at Bank of America. Equally at home in Python and UNIX, he contributes to open-source projects across back-end and full-stack domains—from implementing the Held-Karp TSP algorithm in the widely used jgrapht library to improving UX and data import/export in the Altair GraphQL client. A competitive programmer and CS-minded software engineer, he brings research-grade rigor and robust testing practices to finance software delivery. Based in Oxford, he blends deep scientific modelling experience with practical engineering that speeds model-to-production cycles.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Atmospheric Physics and Dynamics, Doctor of Philosophy - PhD Atmospheric Physics and Dynamics at University of Oxford
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (28)
algorithm10
algorithms10
graph-algorithms10
python10
apidoc10
jgrapht10
typescript10
ui-design10
wpgraphql10
data-structure10
java10
javas10
uid10
api10
front-end-development10
Programming languages (6)
Github contributions (5)
jgrapht/jgrapht
Dec 2017 - Sep 2018
Master repository for the JGraphT project
Role in this project:
Back-end Developer
Back-end DeveloperContributions:112 commits, 27 PRs, 200 comments in 9 months
Contributions summary:Alexandru implemented the Held-Karp algorithm for solving the Traveling Salesperson Problem (TSP). Their contributions involved adding and renaming code related to the dynamic programming algorithm within the `jgrapht-core` library. The work included creating and updating tests to verify the correctness and functionality of the implementation. Further contributions include the addition of a heavy path decomposition algorithm, as well as tests and documentation updates for the code.
undirected-graphsdatastructuresjava-libraryjgraphtmaster
altair-graphql/altair
Oct 2021 - Oct 2021
✨⚡️ A feature-rich GraphQL Client for all platforms.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:11 commits, 2 comments in 12 days
Contributions summary:Alexandru primarily focused on enhancing the Altair GraphQL client's functionality, particularly the user interface. Their contributions included implementing a "clear result" feature within the query result panel and adding data import/export options. They also incorporated unit tests to ensure the quality and reliability of the features. The user's work demonstrates a focus on improving the user experience and data management capabilities of the application.
datafeature-richgraphql-editorngrxgraphql-server
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