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 already managing servers at top American universities. At 14, I developed a remote access tool challenging the defences of Microsoft and Symantec. These early feats weren't just technical exercises; they forged a mindset that blends curiosity, risk-taking, and relentless problem solving.
Growing up with a computer always in hand, I grew fascinated with how data and technology shape the world. This fascination matured through my service in the Israeli Defense Forces (IDF), where I specialised in data management and advanced computer vision technologies. That time instilled a pragmatic approach to AI and systems — one grounded in real-world operational needs rather than academic theory.
Education and professional journey
| Year | Role | Company / Institution | Achievement |
|---|---|---|---|
| By 22 | Student | Various | B.A. in Economics, MBA in Strategy, M.Sc. in Computer Science |
| Early Career | Software Engineer / AI Specialist | Strauss, Intel | Built foundational skills in deep learning, computer vision |
| 2016–2019 | Head of Software Engineering | Office of the Prime Minister, Israel | Led advanced data and cybersecurity projects |
| 2019–2022 | CTO and Co-Founder | SightBit, Tel Aviv | Developed AI-powered water safety platform; led a 50-person R&D team |
| 2022–2024 | Director of Software Engineering, R&D | Synamedia, London | Scaled SaaS products for broadcast industry using AI and ML |
| 2024–Present | CTO | Jam 7, London | Building AI-driven marketing automation platforms leveraging LLMs and agentic architectures |
Throughout, I've combined rigorous academic training with deep on-the-ground experience. My coding stack centres on Python, Bash scripting, deep learning frameworks, and cloud platforms such as AWS. I invest heavily in machine learning, especially generative AI, with practical orientation towards solving business problems through scalable AI systems.
Current role and recent achievements
As Chief Technology Officer at Jam 7, I lead the design and scaling of an AI-powered marketing platform. This platform harnesses the power of generative AI and large language models (LLMs), tuned and orchestrated via agentic workflows, to automate marketing tasks traditionally done by humans.
Prior to this, at Synamedia, I drove the transformation of legacy broadcast data systems into scalable AI-driven platforms, achieving 99% system resilience while saving over half a million dollars annually through generative AI automation. At SightBit, I co-founded and led development of a computer vision platform that detects drowning risks in real time, a life-saving applied AI initiative deployed in real-world environments.
My core philosophy and personal values
- Technology must solve genuine problems: Tools and systems should reduce complexity, not add to it.
- Clarity and efficiency trump gimmicks: Good solutions work effortlessly and transparently.
- People remain the centrepiece: Talent is an asset but also a bottleneck; leadership matters.
- True leadership requires courage: Formal titles don’t guarantee outcomes; execution speed and prioritisation do.
- Question success rigorously: Challenge assumptions to avoid complacency.
- Intellectual risk-taking is essential: Dive deeply, learn rapidly, iterate boldly.
This philosophy is not just theoretical. It drives decisions in team leadership, product strategy, and AI system design, enabling the delivery of practical, impactful solutions rather than academic curiosities.
Technical approach and leadership style
- Hands-on technical leadership: I am deeply involved in architecting scalable AI systems and agentic frameworks. I avoid managing from a distance.
- Focus on production-grade robustness: My teams design AI that not only excels in benchmarks but performs reliably in safety-critical and operational contexts.
- Pragmatic innovation: I balance cutting-edge research with clear business ROI and execution feasibility.
- Cultivating high-performing teams: I believe in mentoring, direct communication, and aligning teams around tangible outcomes.
- Driving data-centric AI: Expertise spans vector search, embeddings, RAG systems, automation, and orchestration.
Personal interests and life beyond work
Outside the office, I am an early riser who values discipline and clarity. Family is central—I have two daughters who continually inspire my drive for a better future. I enjoy outdoor adventures, particularly wilderness hikes with minimal gear and my camera, which let me disconnect and reset.
I’m passionate about music, particularly appreciating it as a complex, interconnected system with each instrument playing a distinct role. This fascination informs my technical mindset, seeing technologies as integrated architectures rather than isolated parts.
Other passions include strategic video games, Enduro motorbike riding, science, and science fiction. Elon Musk’s vision for human space travel fuels my belief in ambitious, meaningful innovation.
Visionary statement
Every day, I ask myself: how far can human potential and artificial intelligence genuinely integrate? My work is grounded in realism, championing AI not as a replacement for humans but as an amplifier of human ability. The future isn’t about blindly trusting machines; it's about designing intelligent systems that transcend limitations and collaborate effectively with people.
I build technology not to impress but to solve. If cutting through the digital noise and delivering tangible business and social impact matters to you—whether that’s through generative AI, agentic architectures, or robust scalable infrastructure—you’ve found the right technologist.
London is where I anchor my professional endeavours, but my outlook and impact have global dimensions. The path ahead is not straightforward, but with clear vision, disciplined execution, and a dose of intellectual risk, it is possible to shape a better, smarter future.