Osama I.

⏰ Available in US/AU Timezones. A founder comes to me with one of three problems "My sales team spends 20 hours a week qualifying leads that never convert" "Support tickets are piling up and we can't hire fast enough" "We get inbound calls at 9pm that go to voicemail and never come back" At first, the fix sounds simple Then the real questions start Will the AI actually understand what the customer wants? Will it work with our CRM, our calendar, our knowledge base? Will it sound human, or like a robot reading a script? Can we trust it to run unsupervised? Can we ship this in weeks, not months? That is where I come in I build AI agents that do real work Voice agents that qualify leads on the phone, chat agents that resolve 80% of support tickets, and automation pipelines that book appointments 24/7 without anyone watching My job is not just to "plug in GPT-4 and hope" My job is to figure out where AI actually saves your team time, what to automate, what to leave alone, and how to ship something your team can manage without me 💰 𝗥𝗲𝗰𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 ✅ Voice agent that took outbound cold calls and increased booked meetings 2x for a US sales team ✅ RAG chatbot that resolved 85% of inbound tickets for an eCommerce brand on Shopify ✅ Lead qualification pipeline that cut sales team's manual screening from 20 hrs/week to 2 ✅ AImpact (UK) document extraction agent - 5.0 from CTO Luca Bellavita ✅ 90+ engagements on Upwork, Top Rated, Upwork-Certified AI Engineer ❝ Did a great job on the Agentic project for us. ❞ ⭐⭐⭐⭐⭐ 5.0 - Luca Bellavita, CTO, AImpact UK ❝ Great quality of work and communication. ❞ ⭐⭐⭐⭐⭐ 5.0 - Tony Drummond, Founder --- 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 ➡️ 𝗔𝗜 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 (𝗦𝗮𝗹𝗲𝘀 & 𝗦𝘂𝗽𝗽𝗼𝗿𝘁) Natural-sounding voice agents that handle outbound cold calls, inbound lead capture, appointment booking, patient reminders, and customer surveys Stack: Vapi, Retell AI, Bland, Twilio, ElevenLabs, OpenAI ➡️ 𝗥𝗔𝗚 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 (𝗪𝗲𝗯𝘀𝗶𝘁𝗲 & 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹) Chatbots that pull accurate answers from your actual data (Notion, docs, websites, CRMs) and escalate to a human when they hit the edge of what they know Stack: LangChain, LlamaIndex, Flowise, Pinecone, Supabase pgvector ➡️ 𝗚𝗛𝗟 & 𝗛𝘂𝗯𝗦𝗽𝗼𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 End-to-end CRM workflows: lead routing, pipeline automation, AI scoring, follow-up sequences, and SaaS-mode rebuilds Stack: GoHighLevel, HubSpot, Salesforce, Pipedrive ➡️ 𝗔𝗜 𝗠𝗩𝗣𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗧𝗼𝗼𝗹𝘀 Investor-ready proofs of concept, v1 products, and internal copilots that save your team manual work Stack: Python, FastAPI, Next.js, Supabase, Postgres ➡️ 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 n8n, Make, and custom Python pipelines that connect AI agents to your CRM, calendar, email, Slack, and internal databases --- 𝗦𝗮𝗺𝗽𝗹𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 ⭐ 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗦𝗮𝗹𝗲𝘀 𝗔𝗴𝗲𝗻𝘁 Outbound voice agent that qualified leads against custom criteria and booked appointments directly into the sales team's calendars Result: 2x booked meetings, fully unattended after week 2 ⭐ 𝟮𝟰/𝟳 𝗘𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗔𝗴𝗲𝗻𝘁 RAG chatbot connected to a Shopify knowledge base, handling order status, returns, and product questions Result: 85% of tickets resolved without a human, average response time under 4 seconds ⭐ 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 𝗧𝗲𝗻𝗮𝗻𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 AI agent that handled inbound tenant chat, answered property-specific questions from a central knowledge base, and auto-created maintenance tickets in the property management software Result: front desk inbound dropped 60% in the first month ⭐ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗔𝗴𝗲𝗻𝘁 (𝗔𝗜𝗺𝗽𝗮𝗰𝘁 𝗨𝗞) Multi-step agent that parsed legal/insurance documents and structured the output for a downstream RAG system Result: cut review time per document from hours to minutes --- 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 LLMs: OpenAI GPT-4, Claude, Gemini, LLaMA, Mistral Frameworks: LangChain, LangGraph, LlamaIndex, Flowise, Voiceflow Voice: Vapi, Retell AI, Bland, Twilio, ElevenLabs, Deepgram Vector DBs: Pinecone, Supabase pgvector, ChromaDB, Qdrant, FAISS CRM: GoHighLevel, HubSpot, Salesforce, Pipedrive, ActiveCampaign Automation: n8n, Make, Zapier, custom webhooks Backend: Python, FastAPI, Node, Next.js, TypeScript, Postgres, Supabase Cloud: AWS, GCP, Docker, serverless --- 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Fixed-price milestones or clearly scoped hourly engagements 2-week post-delivery trial period on every milestone, free revisions if anything misses spec Loom walkthroughs for every delivery so your team can actually run the system after handoff Clear async communication, no disappearing mid-project If you have a manual process eating your team's time, an AI feature you want added to your product, or an agent pipeline you need built end-to-end, send over the details and I will come back with a clear plan, timeline, and fixed price Let's map out what to build