Muhammad Abdullah B.

I build and deploy 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗮𝗻𝗱 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 that solve real business problems. From designing 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 to developing complete SaaS products and deploying them to the cloud, I help startups and businesses turn ideas into reliable, working software. My focus is not just writing code. It’s building solutions that are 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲, 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗰𝗼𝘀𝘁-𝗰𝗼𝗻𝘀𝗰𝗶𝗼𝘂𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝘂𝘀𝗲𝗿𝘀. What I Can Build for You 🤖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 - AI agents and multi-agent workflows using 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 𝗮𝗻𝗱 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 - Tool calling, structured LLM workflows, and agent orchestration - AI-powered research, content generation, and business automation - 𝗟𝗮𝗻𝗴𝗦𝗺𝗶𝘁𝗵 tracing, debugging, and workflow observability - Integrations with 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗖𝗹𝗮𝘂𝗱𝗲 and other AI APIs 🧠 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, 𝗥𝗔𝗚 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗦𝗲𝗮𝗿𝗰𝗵 - Retrieval-Augmented Generation (𝗥𝗔𝗚) pipelines - Document processing and AI-powered search - Embeddings, vector search, and knowledge-based assistants - AI integrations for existing applications and business workflows ⚙️ 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 & 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - High-performance REST APIs using 𝗣𝘆𝘁𝗵𝗼𝗻 𝗮𝗻𝗱 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 - Authentication, authorization, and secure API integrations - Async processing, background jobs, and scheduled automation - 𝗠𝗼𝗻𝗴𝗼𝗗𝗕, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗥𝗲𝗱𝗶𝘀 integrations 🚀 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 - End-to-end SaaS applications using 𝗡𝗲𝘅𝘁.𝗷𝘀, 𝗥𝗲𝗮𝗰𝘁, 𝗡𝗼𝗱𝗲.𝗷𝘀, 𝗘𝘅𝗽𝗿𝗲𝘀𝘀, 𝗮𝗻𝗱 𝗔𝗦𝗣.𝗡𝗘𝗧 𝗖𝗼𝗿𝗲 - User authentication, dashboards, business logic, and admin panels - 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝗴𝗮𝘁𝗲𝘄𝗮𝘆 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 - Third-party API integrations and production deployment 📞 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - AI voice agents using 𝗩𝗮𝗽𝗶 and related AI APIs - Automated lead capture, qualification, and CRM data storage - Conversational AI and customer support workflows - WhatsApp and messaging automation integrations ☁️ 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗗𝗲𝘃𝗢𝗽𝘀 - 𝗔𝗪𝗦 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 application deployment - Docker, CI/CD, and deployment automation - AWS Lambda, EC2, S3, and other cloud services - Redis caching, rate limiting, monitoring, and performance optimization Selected Projects & Results 𝟭. 𝗔𝗜 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Built and deployed an AI-powered content automation pipeline using 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, 𝗮𝗻𝗱 𝗟𝗮𝗻𝗴𝗦𝗺𝗶𝘁𝗵. The system researches video topics, prepares prompts for AI video generation, generates YouTube Shorts using integrated AI video tools, and automatically publishes content to YouTube on a scheduled 𝗔𝗪𝗦 𝗘𝗖𝟮 workflow. 𝟮. 𝟭𝟬 𝗶𝗻 𝗧𝗼𝘄𝗻 — 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Worked directly with an international client to build and deploy a full-stack business discovery platform. It combines 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘃𝗼𝗶𝗰𝗲 𝘀𝗲𝗮𝗿𝗰𝗵, 𝗚𝗣𝗦 𝗮𝗻𝗱 𝗭𝗜𝗣-𝗰𝗼𝗱𝗲-𝗯𝗮𝘀𝗲𝗱 𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴, Google APIs for business ratings, business listings, administrative approval workflows, and 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗲.𝗡𝗲𝘁 𝗽𝗮𝘆𝗺𝗲𝗻𝘁 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. 𝟯. 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Built and launched a SaaS platform with 𝟮𝟱𝟬+ 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿𝗲𝗱 𝘂𝘀𝗲𝗿𝘀 using Next.js, Express, MongoDB, AWS Lambda, S3, and 𝗟𝗲𝗺𝗼𝗻 𝗦𝗾𝘂𝗲𝗲𝘇𝘆. 𝟰. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗟𝗲𝗮𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗴𝗲𝗻𝘁 Built a voice AI agent using 𝗩𝗮𝗽𝗶 to engage prospects, capture and qualify leads, and store lead information in MongoDB for automated follow-up workflows. 𝟱. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Designed a notification system incorporating 𝗥𝗲𝗱𝗶𝘀, 𝗿𝗮𝘁𝗲 𝗹𝗶𝗺𝗶𝘁𝗶𝗻𝗴, 𝘁𝗼𝗸𝗲𝗻 𝗯𝗹𝗮𝗰𝗸𝗹𝗶𝘀𝘁𝗶𝗻𝗴, 𝗔𝗪𝗦 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴, 𝗖𝗹𝗼𝘂𝗱𝗙𝗿𝗼𝗻𝘁, 𝗖𝗹𝗼𝘂𝗱𝗪𝗮𝘁𝗰𝗵, 𝗮𝗻𝗱 𝗦𝗡𝗦. My Technology Stack - 𝗔𝗜 & 𝗟𝗟𝗠𝘀: LangChain, LangGraph, LangSmith, OpenAI, Claude, RAG, embeddings - 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, FastAPI, Node.js, Express.js, ASP.NET Core - 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: Next.js, React - 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MongoDB, PostgreSQL, Redis - 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, Azure, Docker, CI/CD, serverless architecture - 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Google APIs, Vapi, Authorize.Net, Lemon Squeezy, third-party REST APIs