Self-taught engineer building production-grade AI systems, blockchain protocols, and bulletproof automation infrastructure.
If it can be automated, it should be β and I'm the engineer who architects the solution from scratch, whether it's intelligent AI agents, DeFi protocols, or scalable business automation.
I've spent 5 years building 15+ production systems that generate revenue and solve real problems:
- π€ AI Solutions Architect β Certified by AI Leadership Institute (mentored by Noelle Russell)
- βοΈ Blockchain Engineer β Built DeFi protocols on Solana & Ethereum with real users
- ποΈ Full-Stack Developer β TypeScript, React, Node.js, Python, Solidity
- β‘ Automation Specialist β n8n + AI + APIs turning manual work into autonomous systems
Philosophy: Structured self-directed learning produces world-class technical capability. Every system I've built is living proof.
- AI Agent Development β Claude SDK, LangChain, OpenAI
- Multi-Model Architectures β 70% cost optimization through intelligent routing
- Model Context Protocol (MCP) β Custom server development
- Production AI Applications β Lead intelligence, document processing, strategic analysis
Featured Project: LeadGen Pro v2.0 β AI-powered lead intelligence platform with multi-dimensional scoring (FIT/TIMING/ACCESSIBILITY) achieving 70% cost reduction through tiered model architecture (Haiku β Sonnet β Opus).
- Smart Contract Development β Solidity (EVM), Anchor (Solana)
- DeFi Protocol Design β Staking, yield optimization, tokenomics
- Algorithmic Trading β Revenue-generating systems on live chain data
- Web3 Integration β wagmi, viem, web3.js
Featured Projects:
- Solana Agent Kit β Open-source toolkit enabling AI agents to perform 60+ Solana blockchain actions (DeFi, NFTs, staking, cross-chain bridging)
- LuxeVault Protocol β Novel DeFi yield protocol combining behavioral psychology with themed staking vaults (top 5% innovation)
- Algorithmic Trading Systems β Profitable trading systems generating consistent revenue through multi-signal confluence strategies
- n8n Workflow Orchestration β End-to-end automation ecosystems
- Microservices Architecture β RESTful APIs, Redis caching, Bull queues
- Backend Infrastructure β PostgreSQL, Docker, cloud deployment
- System Integration β Payment, CRM, communication, blockchain APIs
Industry Experience:
- π’ Real Estate β Lead capture β AI qualification β CRM β follow-up
- π E-commerce β Order processing β inventory sync β customer comms
- π§ SaaS Platforms β User onboarding β billing β analytics
- π§© Web3 / Blockchain β Smart contract monitoring β data enrichment
- π₯ Content Operations β Asset generation β scheduling β tracking
MOVEQUEST | Jan 2023 - Present
- Architected backend infrastructure reducing system latency by 40%
- Built microservices with RESTful APIs accelerating deployment by 3x
- Developed automation reducing manual processing by 60%
- Handle 10K+ daily verification requests with Redis caching + Bull queues
- Built React webapp with Web3 integration (wagmi/viem) for blockchain monitoring
Tech: TypeScript, Node.js, React, PostgreSQL, Redis, Docker, Solidity, IPFS
XAUTOMATEX.COM & VERIMOVE.ORG | 2020 - Present
Built 15+ production-grade systems spanning AI automation, DeFi protocols, and intelligent agents. Generated revenue from algorithmic trading while architecting enterprise-scale solutions.
Notable Builds:
- β Revenue-generating algorithmic trading systems (CEX/DEX)
- β AI-powered lead intelligence platform (70% cost reduction)
- β Open-source Solana Agent Kit (60+ blockchain actions)
- β Behavioral DeFi protocol with novel staking mechanics
- β Educational platform (Living Proof Protocol)
| Project | Industry | Impact |
|---|---|---|
| Real Estate Lead Engine | Real Estate | 7-workflow AI system with calling, CRM sync, analytics β 414-9000% ROI potential |
| Smart Contract Audit System | Web3 | 6-agent parallel auditing pipeline β 80% faster than manual |
| Charter Booking Automation | Marine Tourism | End-to-end booking β payment β CRM β $800/mo maintenance revenue |
| Brand Design Automation | Creative Services | Automated asset generation β 90% time savings |
Case studies available upon request.
- Frameworks: Claude SDK, LangChain, OpenAI, Model Context Protocol (MCP)
- Models: GPT-4o, Claude 3.5 Sonnet, Haiku (cost-optimized architectures)
- Vector DBs: Pinecone (persistent context + semantic search)
- Image AI: Replicate + FLUX Pro
- Chains: Solana, Ethereum, EVM-compatible
- Languages: Solidity, TypeScript (Anchor framework)
- Libraries: wagmi, viem, web3.js, ethers.js
- DeFi: Jupiter, Raydium, Uniswap, Aave
- Infrastructure: Alchemy, QuickNode, DexScreener
- Languages: TypeScript, JavaScript, Node.js, Python, Rust (learning)
- Databases: PostgreSQL, MongoDB, Redis, Supabase
- APIs: RESTful design, microservices architecture
- DevOps: Docker, Git, CI/CD, AWS, Azure
- Processing: Bull Queue, job scheduling, async workflows
- Frameworks: React, Next.js, modern component architecture
- State Management: TanStack Query (@tanstack/react-query)
- Styling: Tailwind CSS, responsive design
- Web3 UI: RainbowKit, wallet connection patterns
- Platform: n8n (workflow orchestration + business logic)
- Storage: Airtable, Google Drive, structured file management
- Payment: Stripe, PayPal
- Communication: Slack, Telegram, Twilio
- CRM: Follow Up Boss, Go High Level
- Social: X/Twitter (Blotato), Instagram
If there's an API, I've integrated it β or I'll figure it out in 24 hours.
-
π AI Solutions Architect β AI Leadership Institute (Jan 2026) Mentored by Noelle Russell (CEO, AI Leadership Institute)
-
π Responsible AI Leader β AI Leadership Institute (Jan 2026) Ethics, deployment, and governance of AI systems
-
π Solutions Architect β Maven (Noelle Russell, Dec 2025) AI solutions, sales, and leadership
-
π Blockchain Developer Bootcamp β DApp University Solidity, Web3.js, smart contracts, DApp architecture
-
π Technical Certifications β Coursera Python Programming, Kali Linux Security, JavaScript
-
π Self-Directed Learning (2020-Present) 5 years intensive development building 15+ production systems
I don't build monolithic systems. I build modular, maintainable ecosystems that communicate through webhooks, databases, and APIs.
Typical Flow:
Trigger β Validation β Processing β State Management β Action β Logging
Key Patterns:
- β Parallel processing for speed
- β Retry + fallback logic for resilience
- β Database state tracking for long-running operations
- β Comprehensive error handling (no silent failures)
- β Extensive documentation + architecture diagrams
- Discovery β Goals, constraints, existing systems
- Architecture Design β Data flow mapping, failure planning
- Development β Full implementation with documentation
- Testing β Edge cases, load testing, security review
- Deployment β Setup guides, training, handoff docs
No guessing. No "let's see what happens." Blueprint β Build β Launch.
| Principle | What It Means |
|---|---|
| Modular over monolithic | Small, maintainable systems beat giant spaghetti code |
| Error handling is mandatory | Retries, fallbacks, validation, comprehensive logging |
| Documentation = professionalism | Architecture diagrams, setup guides, exportable configs |
| AI β one model | Use specialized models for specialized tasks (cost optimization) |
| Databases matter | Long-running operations need persistent state + memory |
| Security first | OWASP standards, input validation, no shortcuts |
These aren't theories β they're lessons from production deployments.
If you're scaling and manual processes are bottlenecking growth, I build the infrastructure that removes you from day-to-day operations.
Typical Engagement:
- Build: $5k-$15k (depends on complexity)
- Maintenance: $500-$800/mo
- Best Fit: Companies doing $10k+ MRR looking to scale without hiring
What You Get:
- β Full system architecture + documentation
- β Modular, maintainable code (not spaghetti workflows)
- β Error handling + monitoring
- β Training + handoff documentation
- β 30-day post-launch support
I partner with marketing agencies, dev shops, and consultancies as a white-label automation + AI specialist.
What I Provide:
- β Client-ready workflow systems
- β Technical architecture planning
- β Implementation + comprehensive documentation
- β Ongoing support contracts
- β Your brand, my engineering
I'm open to roles where I can build automation infrastructure, AI systems, or blockchain protocols at scale.
What I Bring:
- β 5 years production experience (AI, blockchain, full-stack)
- β 15+ shipped systems generating real revenue
- β System architecture + technical documentation
- β Self-directed learning ability (proven track record)
- β Client communication + technical translation
I build systems that last β not quick hacks that break in 3 months.
- β I optimize for long-term maintainability, not just "getting it working"
- β I document everything because future-me (or your team) will need it
- β I test edge cases because production doesn't forgive sloppy logic
- β I build with scale in mind because growth shouldn't require rewrites
- β I treat automation as infrastructure, not a side project
Core Belief: Structured self-directed learning produces world-class technical capability. Traditional credentials don't determine excellence β shipping production systems does.
π§ del@xautomatex.com π Book a Discovery Call
π§ del@xautomatex.com
π§ del@xautomatex.com π View Full Resume
π¦ X/Twitter: @XautomateX πΌ LinkedIn: Del Crawford π» GitHub: @livingproofdev25 π Website: livingproofdev.com
I build systems that run while you sleep β not because automation is a buzzword, but because your time should be spent on strategy, not execution.
If your business is still dependent on manual processes for critical operations, you're one bottleneck away from stalled growth.
My track record:
- β 15+ production systems shipped
- β Revenue-generating algorithmic trading systems
- β 70% AI cost reduction through intelligent architecture
- β 40% latency improvement in enterprise infrastructure
- β Top 15% global technical execution
I don't just automate tasks β I architect intelligent systems that scale.
Let's change that bottleneck. Let's build something bulletproof.
Last Updated: February 2026 Living Proof Protocol β Demonstrating that structured self-directed learning produces world-class technical capability.

