Summary
Gal Bar-nissan is a software engineer based in Berlin with a decade of hands-on experience building scalable backend systems across startups and established tech companies. He has contributed to core product engineering at Dropbox and helped grow infrastructure and ML-focused platforms at Run:AI before joining Visual Layer, demonstrating a track record of shipping reliable services in high-impact environments. Trained in mathematics and computer science (BSc and MSc, Ben Gurion University), he combines strong algorithmic foundations with practical systems engineering. His background includes telecom protocol work (LTE NAS at Marvell) and early-stage product engineering at CloudOn, showing comfort with both low-level systems and cloud-native architectures. Colleagues describe him as a pragmatic problem-solver who bridges research-grade thinking with production delivery.
9 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics and Computer Science, Bachelor of Science (B.Sc.), Mathematics and Computer Science at Ben Gurion University