Summary
Shany Gindi is a software engineer and machine learning researcher with 11 years of engineering experience and a Master’s in Computer Science from the Weizmann Institute, where he researched adversarial ML under Prof. Adi Shamir. He builds robust, interpretable AI systems and has applied ML across secure systems, neural signal processing, NLP, and computer vision, bridging theoretical research with production-ready implementations. With hands-on expertise in Python, PyTorch, MLOps, LLMs, RAG, and model optimization, he recently joined NVIDIA after developing novel gradient-descent attack algorithms and explainability tools evaluated on CIFAR-10 and ImageNet. His background in low-level languages (C, C++, Assembler) and long history as a developer gives him rare fluency from hardware-adjacent security work to high-level ML stacks. Known for clarity in research and communication, he thrives in interdisciplinary teams tackling impactful AI products. Based in Tel Aviv, he combines deep academic training with practical security and product experience.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The Hebrew University of Jerusalem
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Weizmann Institute of Science
Hebrew, English