Andrei Diaconescu is a Machine Learning Engineer based in Bucharest with five years of experience building production ML systems and blockchain tooling. He has delivered end-to-end solutions from classical ML and time-series forecasting to conversational AI, AutoML platforms and enterprise RAG-based documentation with semantic search, often shipping scalable pipelines and user-friendly interfaces. Earlier work at MultiversX Labs involved low-level contributions to a popular Go blockchain VM and EC cryptography benchmarking, showing he can operate across ML and systems-level domains. Open-minded and adaptable, he blends practical engineering—Streamlit/Flask full-stack apps, SQLAlchemy workflows, LangChain integrations—with rigorous testing and optimization to reduce operational costs and accelerate data-driven decisions.
5 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Automatic Control and Computer Science, Bachelor of Engineering - BE, Automatic Control and Computer Science at Facultatea de Automatică și Calculatoare, UPB
POLITEHNICA București National University for Science and Technology
⚡ The official implementation of the MultiversX blockchain protocol, written in golang.
Role in this project:
Back-end Developer
Contributions:2 reviews, 55 commits, 7 PRs in 6 months
Contributions summary:Andrei's commits primarily focused on implementing and benchmarking elliptic curve (EC) functionalities within the MultiversX blockchain protocol. Their work included adding and updating C-API tests for EC operations such as addition, doubling, marshalling, unmarshalling, and key generation. The user also updated the benchmark contract and added related gas schedule configurations, indicating an effort to optimize the performance and gas costs of EC operations within the blockchain's virtual machine.
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Andrei Diaconescu - Machine Learning Engineer at _VOIS