Jawad A.

AI Agent Developer building production-ready AI agents, RAG chatbots, and voice AI systems for SaaS founders, agencies, and growing businesses.

𝟴+ 𝘆𝗲𝗮𝗿𝘀 in software development, 𝟯.𝟱+ 𝘆𝗲𝗮𝗿𝘀 focused specifically on AI and LLM systems 💵 $𝟯𝟬𝟬𝗞+ 𝗲𝗮𝗿𝗻𝗲𝗱 and a 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲 on Upwork.

I don't just wire a chatbot to your website and call it done. I design the architecture, build the backend, connect it to your real business data, build the AI agents themselves, integrate the APIs you need, create dashboards to monitor everything, and deploy it to the cloud then tune it for accuracy, speed, cost, and scale once it's running in production.

𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 ➤ Agents that understand a request, retrieve the right information, call tools and APIs, update your database, and carry a task through to completion without a human re-typing anything.

𝗥𝗔𝗚 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝗲𝗮𝗿𝗰𝗵 ➤ Chatbots and internal search grounded in your own PDFs, contracts, manuals, CRM records, or policy docs. I handle chunking, embeddings, hybrid retrieval, reranking, and metadata filtering so answers stay accurate instead of hallucinated.

𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 ➤ Inbound and outbound voice agents for appointment booking, lead qualification, reception, reminders, and support calls, built on Retell, Vapi, Twilio, ElevenLabs, and the OpenAI Realtime API.

𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 ➤ Full products: authentication, subscriptions, dashboards, payments, analytics, and the AI features themselves, shipped end to end.

𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ➤ Production-ready SaaS platforms, business portals, admin dashboards, customer-facing applications, and internal tools. I handle frontend, backend APIs, databases, authentication, third-party integrations, payments, cloud deployment, and ongoing optimization.

𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗔𝗜 ➤ Extraction, classification, validation, and summarization from PDFs, invoices, contracts, and forms.

𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 ➤ Connecting your CRM, email, calendar, forms, and messaging tools through n8n, Make, Zapier, and GoHighLevel, with human-in-the-loop steps where they matter.

𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞

I start by understanding the actual problem, not just the requested feature, then propose the simplest architecture that solves it well rather than the most impressive-looking one. I build and ship in short iterations so you see real progress early, test against real data instead of happy-path demos, deploy to your infrastructure, and stay on to monitor accuracy and cost once it's live. You'll always know exactly what's shipped, why, and what it costs to run.