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I work as a Fullstack and AI engineer, with hands-on experience in LLM integration, autonomous agents, workflow automation, multimodal AI, and blockchain systems. My focus isn’t demos or prototypes it’s production-grade systems. That means designing architectures where models are tightly integrated with databases, APIs, business logic, and, when needed, on-chain components. The goal is always reliability, scalability, and clarity, not just “AI for AI’s sake.” When developing large-scale projects (including SaaS platforms), I usually approach things in layers: ``` - Clear system boundaries between AI agents, core services, and external integrations - LLMs as controlled components, connected through orchestration, retrieval, and evaluation pipelines - Automation-first workflows, so repetitive operational tasks don’t become bottlenecks - Data and state ownership handled explicitly whether it’s traditional databases or blockchain-backed logic - Observability and guardrails, because production systems need to fail safely and predictably ``` This approach makes it possible to ship complex AI-powered products that teams can actually maintain, extend, and trust over time. If you’re building something serious especially a SaaS product that needs AI to be dependable rather than flashy I’m always interested in exchanging ideas or collaborating.

Hi there. I have an interesting idea to run by you. I lead a development team, but my English isn’t very strong, so I’m looking for someone who could help represent us. There would be a few meetings each month where you’d attend on my behalf and communicate with clients. Some meetings would be face-to-face. This is a part-time role, with monthly pay ranging from $300 to $3,000, depending on workload and performance (it will be good additional income and it's simple assistance/collaboration, not job). The role may also involve shared access to team accounts and light financial coordination. The bigger picture is an OEM-style collaboration. You’d act like a brand owner and account manager, defining requirements and guiding direction, while our team handles execution and production. You’d join client meetings, gather requirements, and pass them to the team—we handle the rest. DM me if this sounds interesting to you. Tayo

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