About Me
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Visionary CTO • AI Maverick • Practical Problem Solver
Opening Hook: Early Notable Achievements
I've been immersed in technology since childhood. By 12, I was managing servers at top American universities. At 14, I developed a remote access tool that tested the defences of Microsoft and Symantec—a clear sign early on that I wasn’t interested in playing by conventional rules. This foundation propelled me into a career where pushing technological boundaries is the norm, not the exception.
Formative Experiences and Key Training
My Israeli Defense Forces service in the Intelligence Corps gave me a unique vantage point on the power of data and AI in national security. This period shaped my understanding that data is more than numbers—it’s the cornerstone of modern strategy and resilience. It was also where I cut my teeth in advanced computer vision and data management, areas that continue to be at the core of my work.
Building on this, I pursued professional certifications in machine learning and computer science for AI, notably HarvardX's AI certificate and DeepLearning.ai’s professional machine learning certification. Each credential reinforced my hands-on approach to AI, deepening my expertise in generative AI, neural networks, and applied machine learning systems.
Education and Professional Journey
| Year | Role | Company | Achievement |
|---|---|---|---|
| 2013–2016 | Senior Data Engineer | Intel Corporation | Led architectural data solutions, boosted pipeline performance by 40%, and reduced costs by $500K annually |
| 2016–2019 | Head of Software Engineering | Office of the Prime Minister, Israel | Pioneered rapid development for national cyber-security projects; honoured for enhancing national security |
| 2019–2022 | CTO and Co-Founder | SightBit | Built a life-saving AI platform for aquatic safety; secured an $8M valuation |
| 2022–2024 | Director of Software Engineering | Synamedia | Led global R&D, leveraged generative AI to save $550K annually, and transitioned data systems to scalable AWS Data Lake |
| 2024–Present | CTO | Jam 7 | Driving AI-powered marketing automation, developed SOTA AI Agentic Framework outperforming leading AI vendors |
My formal education includes a B.A. in Economics with a minor in Mathematics, an MBA focusing on strategy, and a rigorous foundation in computer science and AI disciplines.
Current Role and Recent Achievements
Currently, I lead the R&D function at Jam 7, an AI-driven marketing company based in London. Here, I architect generative AI and agentic workflows that automate complex marketing tasks at scale. My work centres on building production-grade AI systems that integrate large language models (LLMs), retrieval-augmented generation (RAG), and vector search technologies to deliver tangible business impact.
Before Jam 7, I led multiple disciplines at Synamedia across the UK, Israel, and India, elevating data SaaS solutions with advanced AI automation and transforming legacy data infrastructure into scalable, resilient cloud systems.
My entrepreneurial venture, SightBit, remains a highlight—a platform where AI moves beyond theoretical models to save lives in aquatic safety. That experience shaped my belief: AI must translate to real-world safety, efficiency, and measurable outcomes.
Core Philosophy and Personal Values
- Technology must solve real problems: Artificial complexity and flourish are distractions. The best solutions are invisible in their simplicity and effectiveness.
- People are pivotal: They are both the greatest asset and the bottleneck. I invest heavily in team leadership and mentorship to unlock true potential.
- Relentless pragmatism: Execution speed and ruthless prioritisation define success. I distrust bureaucracy and favour direct, high-impact work.
- Question success rigorously: In a world obsessed with growth, I value intellectual risk-taking and deep analysis over hollow achievements.
- Leadership transcends hierarchy: True leadership happens at every level—it’s about influence, clarity, and accountability.
Balancing technical depth with business insight defines my approach. I perceive challenges as systems to be optimised, much like a complex musical composition where every part must perform flawlessly yet harmonise with the whole.
Technical Approach and Leadership Style
I view AI systems as living architectures, requiring not just build-and-forget but continual adaptation and orchestration. My expertise covers:
- Generative AI and Large Language Models including agentic architectures and RAG systems
- Vector databases, embedding extraction, and real-time retrieval strategies
- Cloud platforms (AWS, Azure, GCP) for scalable, fault-tolerant AI infrastructure
- Data engineering and MLOps automation to eliminate manual maintenance and boost reliability
- Leading cross-functional teams with transparent communication and agile development
My leadership style is hands-on yet empowering. I build high-performing teams by fostering a culture where experimentation is encouraged but always grounded in measurable outcomes. I avoid management fads, focusing instead on clarity, accountability, and strategic alignment.
Personal Interests and Life Beyond Work
Outside of technology, I am a family man deeply influenced by my two daughters. Their curiosity and drive fuel my determination to build a future that’s simpler and smarter.
I am an early riser who enjoys outdoor challenges such as enduro motorbike riding and wilderness hikes with just a camera and minimal gear. Music is more than a pastime for me; I analyse it as a system where every instrument interacts strategically, reflecting my approach to complex problem-solving.
Science fiction and space travel fascinate me; I draw inspiration from visionaries who imagine humanity’s trajectory beyond Earth.
Closing Visionary Statement
In an age flooded with AI-driven buzz, I stand for pragmatic innovation. My goal is clear: to build AI systems that not only push technical boundaries but create lasting, real-world impact. I combine deep engineering expertise with strategic foresight to design intelligent architectures that empower people and organisations, not replace them.
As AI evolves, I am focused on responsible, scalable solutions that amplify human potential and simplify complexity. If you want technology grounded in reality and driven by results, that’s where I excel. The future belongs to those who build with purpose and precision—and I’m here to lead that charge.