I’m currently scouting for an AI Automation Engineer with hands-on experience building AI agents, LLM workflows, API integrations, n8n/Make automations, and production-ready systems. If you’ve actually built and deployed AI automation systems, comment “INTERESTED” and share your strongest project.

Hi! I'm a Senior Full Stack and AI Engineer specializing in AI agents, AI automation, Voice AI, LLMs, and CRM automation. I build scalable web applications, integrate third-party APIs, AWS, and Web3, and can take your project from concept to production. If you're looking for someone who can deliver modern, production-ready AI solutions, feel free to send me a DM. I'd be happy to discuss your project. You can find my contact information in my profile

Hello everyone, I am currently working on a new project and would like to collaborate with founders, business owners, or teams who need help developing or improving digital products. I can support projects across various fields, including web development, AI integration, automation, mobile or SaaS applications, APIs, dashboards, and improvements to existing platforms. I can work with you in any situation, whether it is an initial idea, an unfinished product, or an existing system that requires modification, expansion, or modernization. I focus on clear communication, practical solutions, and delivering deliverables that support the achievement of actual business goals rather than adding unnecessary complexity. If you are currently working on a project and need a trusted technology partner, please send me a message briefly outlining your project overview, current challenges, and goals. You can send a DM or contact me via Telegram. You can find my contact information on my profile.

Most founders and agency owners are still using AI the slow way: sitting in a browser web chat, manually copy-pasting text, downloading files, and fixing messy formatting line by line. It is a massive bottleneck. The real unlock happens when you move the AI into the terminal using Claude Code and connect it directly to your business tools (like Airtable, your database, or project boards). Instead of treating AI like a chatbot, you treat it like a background engine. You run one command, and it can: 1. Scan a messy folder of 50 raw client feedback files. 2. Cross-reference them with your project backlog. 3. Automatically update your database and draft the follow-up emails. The takeaway: If your team is still spending hours transferring data between apps just to get AI to do its job, you haven't automated your workflow, you've just given yourself a new manual data-entry job. Stop copy-pasting. Let the code handle the plumbing so you can focus on scaling.

Hi everyone! 👋 I'm currently open to new projects and collaborations focused on ticket automation, workflow automation, AI, and backend development. If you're building solutions for help desks, ITSM, customer support, or automated ticket processing, I'd love to connect, exchange ideas, or collaborate. Feel free to reach out. Happy to connect!