The Full Story
Where I Am
Location: Beit Shemesh, Israel Context: Religious community, outside the Tel Aviv tech bubble. Not networking at Rothschild Blvd cafes. Not attending every meetup. Building production systems from here. Why it matters: I operate differently than the typical Israeli tech ecosystem. That's not a bug, it's a feature.---
How I Work
The Numbers
- 12,500 AI conversations over 2.5 years
- 400,000+ messages learning efficient AI tool usage
- ~8 hours to build working RAG API (253K messages)
- Solo on all projects (no team, no outsourcing)
The Pattern
1. Identify real problem (not tutorial problem) 2. Build minimum solution with AI assistance 3. Iterate to production quality 4. Ship and learn from real usage Not:- Complete course first, build later
- Memorize frameworks, reference when needed
- Join team, divide work
- Build immediately, learn while building
- Use AI to accelerate, not replace understanding
- Ship complete systems solo
The Tools
- Claude Code, Cursor, Windsurf - AI-first development
- 9 MCP servers - Extended capabilities (Supabase, GitHub, etc.)
- Platform-agnostic - Vercel + Railway + Supabase + Google APIs + etc.
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What I've Proven
Production Systems Solo
Sparkii RAG: 253K message search with classification metadata + query routing Timeline: Day 1 to working API Traditional team size: 5 people Traditional timeline: 3-6 months WOTC Tax Processing: 3-tier microservices, 109-column DB, AI PDF extraction Timeline: 3-4 weeks Traditional team size: 5-7 people Traditional timeline: 4-6 months Israeli Tech Corpus: Podcast transcription + translation pipeline Volume: 31 episodes + 75+ articles Languages: Hebrew → EnglishThe Math
What I Can Do Solo ≈ What 3-5 Developer Team Does- Faster (weeks vs months)
- Cheaper (1 person vs team salaries)
- Often better (no coordination overhead, deep focus)
- Pattern recognition at scale (12,500 AI conversations)
- Efficient iteration (AI accelerates feedback loops)
- Platform orchestration (don't rebuild, combine existing services)
- Deep work (no meetings, no overhead)
The Disconnect I See
2021 Hiring (What Companies Do)
- "Senior Full-Stack Developer, 5+ years, CS degree, ₪30k/month"
- Teams of 5-10 developers
- Multi-round interviews testing algorithm memorization
- Agile ceremonies and sprint planning
2025 Reality (What I Can Do)
- One person with Claude Code
- Production systems in days/weeks
- Platform-agnostic solutions
- Faster, cheaper, comparable/better quality
Why The Gap Exists
1. VCs demand headcount growth - "Scaling" = hiring 50 people 2. Risk aversion - Known pattern (team of 10) feels safer than unknown (1 AI-native dev) 3. Cultural inertia - Israeli playbook (8200 → university → startup → scale team) 4. Leaders don't know it's possible - Most CTOs haven't used Claude Code for 2.5 yearsWhat This Means
I'm 2-3 years ahead of the market's understanding.
Question: What do you do when you're right but early? Currently exploring:- Finding people who already get it
- Building something undeniable
- Waiting for market to catch up (2026-2027)
Background & Context
Self-Taught Path
No CS degree. No bootcamp. No formal programming education. How I learned:- 12,500 AI conversations systematically exploring patterns
- Building real systems that solve real problems
- Pattern recognition first-principles problem solving
- Learn just-in-time, not just-in-case
- High motivation (solving actual problems, not exercises)
- High retention (learned through application)
- Deep understanding (not surface-level tutorial knowledge)
Neurodivergent Learning Style
ADHD: Deep hyperfocus on interesting problems. Struggle with structure/routine. How I adapted:- Work when in flow state (not 9-5 schedule)
- Build systems that interest me (high engagement)
- Use tools that reduce friction (AI assistance)
Religious Community
Observant Jewish in Beit Shemesh. Implications:- Friday afternoons + Saturdays off (Shabbat)
- Different cultural context than Tel Aviv tech
- Community ties (not relocating)
- Clear boundaries enable deep focus
- Different perspective than monoculture
- Proven remote work capability
What I'm Looking For
NOT Looking For:
- Traditional employment with 5-round interviews
- "Junior" roles despite proven capabilities
- Relocating to Tel Aviv
- Daily office presence
- "Send us your resume" companies
- Equity-only startups
AM Looking For:
- Companies/people who understand AI-native development
- Problem-first conversations ("Can you solve X?")
- Capabilities over credentials (Show your work, not diplomas)
- Remote-first or hybrid (1-2 days max in-office)
- Fair compensation (Market rate for value delivered)
The Right Fit
If you:
- Have real technical problems
- Value what someone can build over where they studied
- Understand what's possible with AI tools
- Offer flexibility (remote/hybrid)
- Provide fair compensation
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How This Site Works
Progressive Disclosure
You chose your depth level:
- Surface: Card summaries (30 seconds)
- Medium: Full project details (2-3 minutes)
- Deep: Technical implementation (5+ minutes)
- Full: This page (complete context)
Why This Approach
Traditional portfolio: Throws everything at you upfront This site: Let you explore at your own pace Philosophy: Respect your time. Show what's relevant to your interest.---
Contact
Best Ways to Reach Me
Email: [YOUR_EMAIL_HERE]- Best for first contact
- Include: what you're working on, what you need help with
- Professional connections
- Industry conversations
- See my code
- Contribution patterns
What to Include
Good first message:- What problem you're solving
- Why you think I might help
- What you're looking for (contract, full-time, collaboration)
- "Send your CV to our portal"
- "Quick call?" (without context)
- Generic recruiting templates
FAQs
"Why no CS degree?"
Degrees optimize for breadth (know many things). I optimize for depth (solve real problems).
I've built systems that require understanding of:
- Vector databases (pgvector)
- Spatial queries (PostGIS)
- AI integration (RAG, embeddings)
- Microservices architecture
- Platform orchestration
"How did you learn all this?"
12,500 AI conversations over 2.5 years = systematic pattern recognition.
I don't "learn" topics - I solve problems and learn what's needed along the way.
"Can you work full-time or just contract?"
Open to both, depending on fit.
Full-time if:- Remote or hybrid (1-2 days max)
- Company understands AI-native work
- Fair compensation
- Interesting technical problems
- Specific problem to solve
- Fixed scope or hourly
- Flexible schedule
"What's your rate/salary expectation?"
Depends on:
- Type of work (contract vs full-time)
- Company stage (startup vs established)
- Problem complexity
- Remote vs hybrid vs office
- ₪300-400k/year full-time (comparable to senior dev doing team's worth of work)
- Contract: discuss based on scope
"Why Beit Shemesh and not Tel Aviv?"
Religious community, family, lifestyle.
Proven I can ship production systems remotely. Location doesn't limit capability.
"What kind of projects interest you?"
Technically interesting:- AI/ML systems (RAG, embeddings, LLMs)
- Complex data pipelines
- Platform orchestration
- Performance optimization
- Solving real business problems
- Production systems, not demos
- Measurable impact
- CRUD apps (boring)
- Maintenance-only roles
- Projects without technical challenge
What Makes Me Different
Not Better, Just Different
I'm not claiming to be better than teams. I'm different:
Teams excel at:- Large codebases with history
- Coordination across many domains
- Politics and stakeholder management
- Long-term maintenance
- 0→1 building (MVP to production)
- Rapid iteration
- Platform-agnostic solutions
- Deep focus without coordination overhead
The AI-Native Difference
Most developers use AI as:
- Code completion tool
- Debugging assistant
- Documentation lookup
- Architecture advisor
- Pattern recognition engine
- Rapid prototyping accelerator
- Knowledge base for unfamiliar domains
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Last Updated
This site represents where I am as of [DATE_TO_UPDATE].
As I build new systems and learn new patterns, I'll update this content.
Want to be notified? Connect on LinkedIn.---