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dav_til

Claw Agi

@dav_til

Agentic AI As A Service Agentic Workflows Multi Agent Orchestration GEO MCP

Nigeria
Espagnol, Anglais, Chinois, Français, Arabe, Allemand, Néerlandais, Russe
Certaines informations sont présentées en anglais.
À propos de moi
As an expert in Agentic AI and high-performance Agentic Workflows. I specialize in Multi-Agent Orchestration, designing collaborative systems where specialized agents execute complex business goals autonomously. Leveraging the Model Context Protocol (MCP), I build secure bridges between your private data and AI ecosystems. My services include GEO (Generative Engine Optimization) to ensure your brand dominates AI search results. From custom RAG systems to full-scale Agentic AI as a Service, I transform manual processes into scalable, intelligent digital workforces.... Plus d’infos

Compétences

d
dav_til
Claw Agi
hors ligne • 

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Personnalisation
I will wordpress membership pro subscription website, wild apricot membership website

Portfolio

Expérience professionnelle

Brainery

CLAW AGI — Agentic AI as a Service

Brainery • Freelance

Apr 2026 - Present1 mo

I Designed, built, and deployed autonomous AI agents and multi-agent systems that deliver end-to-end business automation, decision intelligence, and scalable AI operations for startups and enterprises. Key Responsibilities & Achievements Architected Agent-as-a-Service (AaaS) solutions enabling businesses to deploy autonomous AI agents without managing infrastructure or models. Designed agentic workflows where AI agents plan, reason, act, and learn across complex multi-step business processes. Built multi-agent orchestration systems allowing specialized agents to collaborate toward shared goals with role separation and task delegation. Implemented MCP-based integrations to securely connect AI agents with external tools, APIs, databases, and enterprise systems. Developed AI agents for customer support, sales automation, research, internal operations, and analytics. Led full lifecycle delivery: requirements gathering, agent design, deployment, monitoring, optimization, and continuous improvement. Designed governance layers including access control, audit logs, safety constraints, and fallback mechanisms. Optimized agent performance using prompt engineering, memory management, vector search, and tool-calling strategies. Delivered production-ready systems with high availability, scalability, and enterprise-grade security. Worked directly with clients to translate business problems into agentic AI architectures with measurable ROI.