Gal Shubeli
Software And AI Engineer at FalkorDB
Israel
Summary
🤩
Rockstar🎓
Top SchoolGal Shubeli is a Software and AI Engineer with three years of hands-on experience building healthcare and ultrasound imaging algorithms from lab prototype to production. He blends academic research and industry delivery—authoring signal- and image-processing systems in MATLAB, Python, and C# while integrating ML models into cloud and mobile pipelines. At Pulsenmore he worked on fetal heart-rate analysis, novel computer-vision detection for automated testing, and real-time performance monitoring, and now contributes to AI engineering at FalkorDB. Currently pursuing an MS in Electrical and Electronics Engineering, he is pivoting his research toward NLP to uncover model nuances and improve decision-making. Gal pairs rigorous experimental documentation and data-driven evaluation with a pragmatic focus on deployable solutions, and he’s comfortable spanning research, development, and hiring processes. Based in Israel, he’s motivated by building impactful medical applications that move from proof-of-concept to clinical-grade reliability.
3 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Ben-Gurion University of the Negev
Github Skills (37)
chatgpt10
predict10
python10
retrieval10
memory-management10
vector-database10
graph-database10
llm10
agent10
knowledge-graph10
sdk10
ai10
fine-tuning10
state-management10
multiagent-systems10
Programming languages (5)
Github contributions (5)
FalkorDB/GraphRAG-SDK
Sep 2024 - Apr 2025
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
Contributions:15 releases, 43 reviews, 76 PRs in 6 months
falkordbgenaigraph-databasegraphragknowledge-graph
FalkorDB/mem0
Sep 2024 - Jan 2025
The Memory layer for your AI apps
Contributions:1 PR, 17 pushes, 1 branch in 4 months
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