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muqaddas_b7

Muqaddas

@muqaddas_b7

AI Engineer Expert in LangChain Groq RAG Pipelines and FastAPI Development

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
I build production-ready AI systems; chatbots, RAG pipelines, and full-stack web apps that actually work at scale. Recent work: Vocaro (AI meeting intelligence platform), MediAssist (healthcare RAG system), NexVisa (LLM-powered visa assistant covering 190+ countries). Stack: LangChain · FastAPI · LLaMA 3 / Groq · React TypeScript · Docker If you need an AI backend built fast and deployed properly, let's talk.... Saiba mais

Habilidades

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muqaddas_b7
Muqaddas
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Desenvolvimento de chatbots de IA
I will build ai chatbot for business website with 24 7 support
A partir deUS$ 20 /projetoMais detalhes
Integrações de IA
I will build a scalable ai backend with fastapi and chatgpt
A partir deUS$ 90 /projetoMais detalhes

Portfólio

Experiência profissional

Self_Employed

Self Employed

Autônomo • 5 mos

AI Engineer

Mar 2026 - Jun 2026 • 3 mos

Built and deployed two full-stack AI applications as independent projects. MediAssist is a healthcare RAG chatbot developed using LangChain, Groq, and FastAPI. It answers medical queries by retrieving relevant information from a knowledge base using retrieval augmented generation, providing accurate and context-aware responses. NexVisa is an automated visa information system covering 192 plus countries. Built with LLM integration and FastAPI backend, it provides users with up-to-date visa requirements and application guidance through a conversational AI interface. Both applications are fully deployed, documented, and available on GitHub.

AI Engineer and Full Stack Developer

Jan 2026 - Mar 2026 • 2 mos

Designed and deployed Vocaro, a full-stack AI Meeting Intelligence Platform that automatically transcribes and summarizes meetings. Built a FastAPI backend integrated with Groq LLaMA 3 for smart summarization and Groq Whisper API for real-time audio transcription. Developed a clean React TypeScript frontend deployed on Vercel with the backend hosted on Hugging Face Spaces. Handled end-to-end development including API design, LLM integration, error handling, Docker configuration, and production deployment.