About Me
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Visionary CTO • AI Maverick • Practical Problem Solver
Early milestones set the tone for my career: by age 12, I was managing servers at top American universities. At 14, I developed a remote access tool that tested the defences of tech giants like Microsoft and Symantec. These early exploits were more than youthful curiosity—they were the foundation of a relentless drive to push technology limits and solve real problems.
My journey is not just about early wins; it’s about building AI systems that matter. Over the years, I transitioned from hands-on engineering to technology leadership, specialising in generative AI, large language models (LLMs), and agentic automation. I now lead initiatives that marry deep technical insight with strategic execution, focusing on AI solutions that deliver measurable impact.
Formative Experiences and Key Training
Growing up with a computer in my hands shaped a mindset wired for innovation and resilience. Joining the Israeli Defense Forces, I specialised in data management and computer vision, gaining first-hand experience in how advanced AI and data analytics drive national security and strategic advantage.
This challenging environment instilled in me a deep respect for robust, scalable systems and the importance of actionable intelligence from complex data. It also sharpened my focus on AI’s potential for real-world transformation over theoretical novelty.
Education and Professional Journey
By 22, I held several degrees spanning economics, computer science, and business strategy—providing a unique technical and commercial vantage point:
- B.A. in Economics
- M.Sc. in Computer Science
- MBA with a focus on Strategy
This interdisciplinary foundation supports my work as a technology leader and AI engineer who understands markets as well as machine learning models.
My career path includes impactful roles at:
| Year | Role | Company | Achievement |
|---|---|---|---|
| 2016-2019 | Head of Software Engineering | Israeli Prime Minister’s Office | Developed data and cyber security solutions under high stakes and rapid delivery |
| 2019-2022 | CTO and Co-Founder | SightBit | Built AI for real-time drowning prediction and aquatic hazard detection |
| 2022-2024 | Director of Software Engineering | Synamedia | Led global R&D teams, innovating in data SaaS and machine learning platforms |
| 2024-Present | CTO | Jam 7 | Driving AI-powered marketing automation and agentic AI frameworks |
Current Role and Recent Achievements
Today, I serve as CTO at Jam 7, an AI-driven marketing company based in London. My mission: to deliver production-grade AI solutions that automate complex marketing workflows through generative AI and agent architectures like LangGraph and LangChain.
Highlights from my tenure include:
- Developing an AI marketing platform that operates autonomously at scale
- Creating a state-of-the-art agentic AI framework outperforming leading models in creativity benchmarks
- Aligning R&D closely with business needs, fostering rapid innovation cycles
Previously, at Synamedia, I led multi-disciplinary teams across data, DevOps, and UI to deliver scalable SaaS products, saving the company over $550k annually by embedding AI automation and modernising data lakes.
Co-founding SightBit remains a career highlight—where AI helped save lives by detecting aquatic hazards in real time using advanced computer vision without specialised hardware. That experience refined my sense of responsibility in AI engineering, where failure is not an option.
Core Philosophy and Personal Values
My approach to technology and leadership pivots on a few core beliefs that I uphold rigorously:
- Technology must solve real problems. No frivolous features or hype-filled fluff.
- Simplicity is the ultimate sophistication. Solutions should be elegant and effortless for users.
- People are the greatest leverage, and also the bottleneck. Invest in talent, nurture growth, but demand rigor and accountability.
- Critical thinking beats consensus. Question success as aggressively as failure.
- Speed and focus matter. Ruthlessly prioritise what delivers impact—discard what doesn’t.
These principles have shaped my leadership style and technical direction. I favour clarity over complexity, pragmatism over theory, and results over buzzwords.
Technical Approach and Leadership Style
My expertise spans a broad AI landscape, with an emphasis on generative AI, large language models, and agentic systems that automate decision-making and orchestration:
- Deep hands-on experience with LLM architectures, RAG systems, and vector search
- Building scalable cloud infrastructure supporting AI-powered data pipelines and analytics
- Designed and deployed autonomous AI agents for data engineering workflows
- Creating production-grade, reliable AI systems with safety and robustness in mind
As a leader, I blend technical depth with strategic clarity. I build multifunctional teams, mentoring engineers and aligning R&D to pressing market problems. I prefer direct, pragmatic communication and rapid iteration cycles to move from idea to impact.
Execution speed and architectural discipline go hand in hand for me. I reject unnecessary complexity in favour of clean, maintainable solutions designed to scale.
Personal Interests and Life Beyond Work
My drive is fueled by a vibrant life beyond the terminal. Some of my personal interests include:
- Exploring wilderness trails with minimal gear and a camera — a way to unplug and clear my mind
- Engaging with music as a system of harmonised components, which parallels my approach to technology architecture
- Riding Enduro motorbikes — embracing challenge and focus in the outdoors
- Passion for science fiction and space exploration — inspired by visionaries pushing humanity’s frontier
- Family comes first—my two daughters are a daily reminder to build a better, simpler future
Vision Forward
I am committed to building AI systems that transcend mere automation. The goal is to amplify human potential with intelligent, responsible technology that solves meaningful problems. Not if AI will reshape our world, but how effectively we design it to do so.
Bringing together deep AI expertise, strategic leadership, and hands-on engineering, I aim to lead in creating the next generation of agentic, generative AI solutions that are reliable, impactful, and ethical.
If you value clarity, pragmatism, and results-driven innovation in AI, I’m ready to connect and collaborate on building the future.