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Designed a cross-platform operational trust model focusing on secure file handling and payload isolation to prevent lateral movement within sensitive enterprise environments. Established a comprehensive zero-trust perimeter around automated tasks, safeguarding critical infrastructure from unauthorized execution or configuration drift.
Enterprise Stack Deployed: HashiCorp Vault, Microsoft Entra ID, Cloudflare Zero Trust.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Built an AI Security Scanner for GitHub Orgs in 2 Weeks
Engineered an end-to-end AI platform that scans entire GitHub organizations for vulnerabilities and auto-generates fix PRs.
What it does:
Crawls 100+ repos via GitHub GraphQL API in batch mode
Runs GPT-4 over real source code to detect SQL injection, XSS, hardcoded secrets, CSRF, auth bypasses
Scores by severity, generates secure code fixes, creates PRs automatically
Real-time WebSocket dashboard shows live progress
Tech: Next.js 15 · Node.js · Supabase · BullMQ · Redis · OpenAI · CrewAI
Open source, MIT licensed: github.com/aymandakir/org-code-ai
Shipped in under 2 weeks. Full stack, production-ready.
Great work! And it's open source too. 😄
How do you design trust for a cutting-edge biotech startup?
For Barrier.co (Los Angeles), the challenge was to bridge the gap between complex science (BPC-157 peptides) and a premium, high-performance lifestyle. I developed a comprehensive brand system and a high-fidelity web experience focused on 'The Architecture of Resilience'.
Key features of the project:
Visual Identity: A palette of Obsidian and Medical Teal to evoke clinical authority and futuristic wellness.
Product Experience: 3D visualization of 'Sequence Protocol 01' housed in UV-protective medical glass.
UI/UX: A mobile-first, conversion-optimized landing page with an integrated 'Protocol Quiz' for personalized biohacking.
🚨 MongoDB vs SQL: Key Differences Every Developer Must Know
Most developers ask:
Which database is better?
Wrong question.
The real question is:
👉 Which database fits your project requirements?
Here’s the breakdown:
🔹 SQL Databases
• Structured tables & rows
• Fixed schema
• Powerful JOIN queries
• Strong ACID transactions
• Best for banking, ERP, analytics, finance apps
Examples: PostgreSQL, MySQL, Microsoft SQL Server
🔹 MongoDB
• Flexible document-based storage
• JSON-like data model
• Easier schema changes
• Great for rapid development
• Strong for real-time apps & scalable platforms
Best for: SaaS products, Content platforms, IoT systems, Fast MVP evelopment
⚡ Key Difference:
SQL prioritizes structure & consistency.
MongoDB prioritizes flexibility & scalability.
The best engineers don’t blindly follow hype.
They choose the right tool for the right problem.
More backend & system design content: webdevlab.org
#MongoDB #SQL #Database #BackendDevelopment #SystemDesign #WebDevelopment #SoftwareEngineering #FullStackDevelopment #Programming #Developer
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