Matan Shteiman
AI Manager leading Generative AI innovation at Radiant Security | Building LLM, RAG, and Agentic systems that transform cybersecurity automation
- Role
- Ai Manager at Radiant Security
- Location
- Lafayette, CA, US
- LinkedIn followers
- 500 followers
About Matan Shteiman
I lead Generative AI innovation at Radiant Security, driving the design and deployment of advanced AI systems that transform cybersecurity operations. My focus is on building scalable, explainable solutions using LLMs, agentic workflows, and RAG pipelines that enhance automation, accuracy, and transparency in threat response.As AI Manager, I define Radiant’s GenAI research roadmap and guide a team of applied researchers in translating cutting-edge AI research into production-ready, high-impact products. My mission is to make AI both powerful and practical—bridging deep research with real-world cybersecurity challenges.Before joining Radiant, I led AI and computer vision teams at FruitSpec and BeyondMinds, delivering production-grade AI systems across multiple industries. With a background in computer science and electrical engineering, I’m passionate about building technology that redefines what’s possible with AI.
Experience
Ai Manager
Feb 2024 — Present
lead all Generative AI initiatives in the company — defining our research roadmap, architecting scalable GenAI systems, and driving innovation across products. I specialize in building LLM-based expert systems, agentic workflows, and retrieval-augmented generation (RAG) pipelines that deliver accuracy, transparency, and real-world impact. Passionate about bridging cutting-edge AI research with practical applications, I guide a team of talented AI researchers to turn bold ideas into production-ready solutions.
Education
University of Illinois Urbana-Champaign
Master of Science - MS, Computer Science
2017 — 2019
Coursera
CS - Machine Learning
2016 — 2016
Coursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
2017 — 2017
Tel Aviv University
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering
2009 — 2013
Coursera
Neural Networks and Deep Learning
2017 — 2017
Skills
- Semiconductor Industry
- Testing
- Algorithms
- Matlab
- Python
- Pspice
- Machine Learning
- Data Analysis
- Research and Development (R&D)
- Electronics
- C
- Microsoft Office
- Vba
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