I architect and deploy production-grade AI systems that transform how teams work with language models.

As an AI Engineer, I specialize in building enterprise-scale LLM applications—RAG architectures, multi-agent systems, and AI platforms that serve real users, not just demos. My approach bridges the gap between research and production, turning Transformers, MoE, and State-Space Models into reliable, scalable solutions.

Currently leading AIClaw Platform, an enterprise AI system integrating 73+ AI providers with agent orchestration and multimodal processing. Extended LobeHub's framework for enterprise deployments, achieving 99.9% uptime while reducing infrastructure costs by 60%. Built a RAG knowledge base with pgvector semantic search that retrieves information 89% faster (45min → 5min).

Technical expertise: • LLM Operations: RAG pipelines, prompt engineering (CoT, ReAct), function calling, LoRA/QLoRA fine-tuning, LLM-as-Judge evaluation • AI Frameworks: LangChain, LlamaIndex, Hugging Face Transformers, LangGraph, Model Context Protocol • Stack: TypeScript, React, Next.js, PostgreSQL, Docker, Ollama, vLLM, vector databases (Pinecone, pgvector)

I believe in Spec-Driven Development for AI systems—building with type safety, observability, and proper evaluation from day one. This philosophy enabled 85% test coverage, 90% regression detection, and 70% reduction in runtime errors across my projects.

Key achievements: • Deployed AI infrastructure serving 250+ concurrent users with sub-200ms response times • Processed 10K+ documents daily through automated RAG pipelines • Reduced deployment time from 3 days to 2 hours with GitHub Actions CI/CD • Built enterprise RBAC with 5 roles and 15+ granular permissions • Implemented AES-256-GCM encryption with automated secret rotation

Beyond LLMs, I contribute to open source with projects used by 1M+ users (Solara) and 100+ GitHub stars (SwiftUINavigator). Cross-platform experience spans iOS, Android, Flutter, and Web.

I'm interested in opportunities where AI engineering meets production rigor—roles that require building reliable, scalable AI systems with real impact.

• 🌐 Website:malekkamel.github.io
• 💼 LinkedIn:Malek Kamel
• 🐦 Twitter:@MalekKamell
• 📫 Email:sha.kamel.eng@gmail.com

I'm always eager to collaborate on innovative projects and share insights with fellow developers. Let's connect and create something impactful together!

• GitHub Arctic Code Vault Contributor: Contributed code to several repositories in the 2020 GitHub Archive Program.
• Pull Shark x2: Opened pull requests that have been merged.
• Quickdraw: Gitty up!
• Starstruck: Created a repository that has many stars.