Moosa J.

🏆 𝗡𝗢𝗧𝗔𝗕𝗟𝗘 𝗔𝗖𝗛𝗜𝗘𝗩𝗘𝗠𝗘𝗡𝗧𝗦 🤖 Deployed production multi-agent systems on OpenClaw, 8+ autonomous agents running live business operations 24/7 ⚡ Shipped PULSE : autonomous X/Twitter growth agent executing without human intervention. 🎬 Engineered AI Reality Show : AI Shark Tank, Real founders pitching live on Google Meet to AI-avatar VCs. Built with ElevenLabs (voice) and Hedra (video). 🔗 Shipped AI Trading Agent : Trading agent executing real on-chain transactions across Solana and EVM via natural language interaction. 🏅 Hackathon and Grant Winner : Starknet Thailand 2024, A51 Finance 🚀 Production systems delivered for Dafi Protocol, Lokr, Zygnus, Kerberus and TrustSwap. 🧠 7 years across AI, Data Science, Web3 and Blockchain, veteran engineer and builder by nature. I have been writing code for 7 years. I followed the technology wherever the engineering was hardest and built there before the market caught up. It started in blockchain: smart contracts, DeFi protocols, liquidity management systems. Made countless open-source contributions, plus tried building and growing my own products. Then moved on to AI before it had this much hype. I love to research and learn new things which pull me in a different direction. I was tracking LLM development as a technical discipline, every model release, every architecture paper, while layering AI into what we were already building: DeFAI protocols with natural language execution layers, crypto bots driven by LLM reasoning, automation pipelines on-chain. The real inflection point was AI Shark Tank. We architected a full multi-agent simulation founders pitching live on Google Meet to autonomous investor avatars, each running independently, performing real-time due diligence through coordinated inter-agent collaboration. Voice, avatar generation, and LLM reasoning fully orchestrated. Halfway through that build I realized: I was not adding a feature. I was engineering a new category of software. ⚙️ 𝗧𝗛𝗘 𝗔𝗚𝗘𝗡𝗧 𝗦𝗧𝗔𝗖𝗞 & 𝗔𝗨𝗧𝗢𝗡𝗢𝗠𝗢𝗨𝗦 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪𝗦 : 🤖 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗔𝗴𝗲𝗻𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Orchestrator and POD architecture, inter-agent communication, shared memory, event routing, VPS deployment 🧠 Multi-Agent Orchestration: Coordinated agent fleets, task routing, autonomous and approval-gated operational modes ⚙️ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Workflow pipelines replacing manual ops, outreach, lead generation, content, CRM syncing 🔗 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Claude/OpenAI APIs, local LLM deployments, tool use, function calling, persistent memory, RAGs 🎯 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Multi-agent frameworks, persona conditioning, voice-matched messaging at systems level 📡 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Node.js and TypeScript across REST, Discord, LinkedIn, X API v2, WordPress, and CRM platforms 🎙️ 𝗩𝗼𝗶𝗰𝗲 𝗮𝗻𝗱 𝗔𝘃𝗮𝘁𝗮𝗿 𝗔𝗜: ElevenLabs, Hedra, Whisper, live call-style agentic experiences. 🚀 𝗔𝗚𝗘𝗡𝗧𝗦 𝗟𝗜𝗩𝗘 𝗜𝗡 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡: 🔹 FleetMind : CBDO Orchestrator + 4 POD agents (Content, Social, Web, SEO/GEO) + US/EU regional agents. 8+ agents, 6+ integrations, 24/7 ops. 🔹 LANCE : 5-touch (build relation first, then sell strategy) LinkedIn outreach agent. Voice-matched, Discord approval-gated, persistent memory, platform-safe. 🔹 PULSE: Autonomous X/Twitter daily actions: threads, trend monitoring, reply engagement, ICP targeting, weekly analytics. 🔹 AI Reality Show: Autonomous investor avatars on Google Meet. Real-time due diligence and investment decisions. Manual override supported. 🔹 AI Twin App: Persona agents mirroring real Web3 figures via public data ingestion and prompt engineering. 🔹 NLP Trading Agent :NLP on-chain trading agent. Swaps, bridges, cross-chain transfers via natural language. x402 payments, multi-chain adapters. 💡 𝗪𝗛𝗬 𝗛𝗜𝗥𝗘 𝗔 𝗛𝗨𝗠𝗔𝗡 𝗪𝗛𝗘𝗡 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗 𝗔𝗡 𝗔𝗚𝗘𝗡𝗧 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 ❓ 1. Agents don't deploy themselves: The right engineer is the difference between broken automation and a 24/7 production system. 2. Most agent failures are architecture failures: I map ownership, communication, memory, and failure points before anything runs. 3. No fragile agents: Real money, production standards, zero tolerance, every agent I ship is held to that bar. 4. One engineer, full stack: Architecture to deployment, no handoffs, no gaps. 5. I Ship: Honest scope, real timelines, no half-built handoffs. 🤝 𝗟𝗘𝗧'𝗦 𝗣𝗨𝗧 𝗬𝗢𝗨𝗥 𝗙𝗜𝗥𝗦𝗧 𝗔𝗚𝗘𝗡𝗧 𝗧𝗢 𝗪𝗢𝗥𝗞 If you are building an Agentic AI product, an OpenClaw agent system, or an AI automation pipeline and need an engineer who has actually shipped these systems in production, you are in the right place. I become a complete engineering partner, not just a freelancer. From architecture and agent design to deployment, monitoring, and iteration, I am in it until it works.