Muhammad Ahsan A.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 | 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝟳+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 I build AI agents, AI-powered SaaS products, automation systems, RAG applications, voice AI, and LLM-powered workflows using Python, React, Next.js, Node.js, and modern AI technologies. I’ve worked on products used by millions of users across healthcare, SaaS, recruitment, publishing, e-commerce, automotive, B2B platforms, and AI. My experience covers the full AI product lifecycle: AI architecture, agent workflows, RAG, LLM integrations, voice AI, automation, APIs, frontend, backend, databases, cloud infrastructure, evaluation, and production deployment. WHAT I BUILD - 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 - 𝗥𝗔𝗚 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 - 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝗜 𝗔𝘂𝗱𝗶𝗼 - 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗦𝗮𝗮𝗦 EXPERIENCE AT SCALE 𝟳+ 𝘆𝗲𝗮𝗿𝘀 in full-stack development 𝟱𝗠+ 𝗺𝗼𝗻𝘁𝗵𝗹𝘆 𝘃𝗶𝘀𝗶𝘁𝗼𝗿𝘀 across products I’ve worked on 𝟮𝟱𝗠+ 𝗮𝗻𝗻𝘂𝗮𝗹 𝘃𝗶𝘀𝗶𝘁𝗼𝗿𝘀 on a major automotive platform 𝟭𝗠+ 𝗖𝗵𝗿𝗼𝗺𝗲 𝘂𝘀𝗲𝗿𝘀 on PrintFriendly 𝟰𝟬𝗞+ 𝘂𝘀𝗲𝗿𝘀 on an AI-powered healthcare platform 𝟱𝟬𝗞+ 𝗺𝗼𝗻𝘁𝗵𝗹𝘆 𝘂𝘀𝗲𝗿𝘀 on an AI recruitment SaaS 𝟳-𝗮𝗴𝗲𝗻𝘁 AI knowledge-base system 𝟯,𝟬𝟬𝟬+ newsletters managed through an AI-powered publishing platform 𝟴+ industries including healthcare, SaaS, recruitment, publishing, e-commerce, B2B, automotive, and AI SELECTED AI PROJECTS I𝘇𝗶𝗧𝗿𝗮𝘃𝗲𝗹: 𝗔𝗜 𝗧𝗿𝗮𝘃𝗲𝗹 𝗣𝗹𝗮𝗻𝗻𝗲𝗿 Built an AI travel planner where users provide their city, budget, dates, and interests and receive personalized itineraries using RAG and live data. Worked with LangChain, LangGraph, OpenAI, Google APIs, RAG, database retrieval, audio generation, and AI evaluation. 𝗞𝗹𝗮𝗿𝗮: 𝗔𝗜 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗦𝗮𝗮𝗦 Worked on an AI recruitment platform serving 50K+ monthly users, integrating AI agents with recruitment workflows, Recruitee, and Twilio. 𝗕𝗿𝗮𝗻𝗱𝗪𝗲𝗹𝗹 / 𝗪𝗿𝗶𝘁𝗲𝗪𝗲𝗹𝗹 / 𝗥𝗮𝗻𝗸𝗪𝗲𝗹𝗹: 𝗔𝗜 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 & 𝗩𝗼𝗶𝗰𝗲 Built AI-powered content and voice workflows using Python, Django, OpenAI, ElevenLabs, Next.js, and LLMs. Optimized the AI pipeline to reduce costs by approximately 60%. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁: 𝗔𝗜 𝗦𝗮𝗹𝗲𝘀 & 𝗕𝗼𝗼𝗸𝗶𝗻𝗴 Built voice automation using Vapi and Make, handling booking, opt-outs, live data, CRM updates, and automated follow-ups. The workflow reduced manual work by approximately 75%. 𝗡𝗣𝟮𝗚𝗢: 𝗔𝗜 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Worked on a healthcare platform serving 40K+ users, integrating Healthie EMR, custom databases, automated workflows, and AI-driven operational processes. 𝗔𝘂𝗱𝗶𝗼𝗦𝘄𝗲𝗲𝗽: 𝗔𝗜 𝗔𝘂𝗱𝗶𝗼 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 Built AI functionality for detecting and categorizing explicit language in audio using Python, Django, React, WhisperX, and GPT. 𝗣𝗮𝘃𝗲𝗱: 𝗔𝗜 𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Built features for an AI-powered sponsorship platform processing millions of data points, using React, TypeScript, PostgreSQL, AWS, Docker, and Google APIs. 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 Built RAG-based assistants connected to private knowledge bases, business data, docdocuments, and external APIs. AI / LLM STACK 𝗔𝗴𝗲𝗻𝘁𝘀: LangChain, LangGraph, CrewAI, MCP, tool calling, structured outputs, memory 𝗟𝗟𝗠𝘀: OpenAI, GPT, Claude, Gemini, Amazon Bedrock, open-source LLMs 𝗥𝗔𝗚: LangChain, LangGraph, Pinecone, Qdrant, FAISS, Chroma, pgvector 𝗩𝗼𝗶𝗰𝗲 & 𝗔𝘂𝗱𝗶𝗼: Vapi, Whisper, WhisperX, ElevenLabs, Deepgram, Twilio 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: n8n, Make, Zapier, webhooks, APIs, CRM automation 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: RAG evaluation, structured outputs, test datasets, LLM response evaluation TECH STACK 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Python, Django, FastAPI, Node.js, Express.js, REST, GraphQL 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, Next.js, TypeScript, JavaScript, Tailwind CSS 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS, ECS, EC2, S3, Docker, GitHub Actions, Vercel 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀: OpenAI, Anthropic, Google AI, Bedrock, Hugging Face, LangChain, LangGraph 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Stripe, HubSpot, Twilio, Google APIs, OAuth, webhooks, third-party APIs 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Git, GitHub, Cursor, Claude Code, Codex, Replit, Vercel I work across AI architecture, agents, automation, backend, frontend, integrations, and deployment, so you can take an AI product from an idea or existing codebase to a production system.