m
muqaddas_b7

Muqaddas

@muqaddas_b7

AI Engineer Expert in LangChain Groq RAG Pipelines and FastAPI Development

Pakistán
Inglés, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
AI Engineer specializing in RAG pipelines, LLM integration, and full-stack AI applications using LangChain, Groq, and FastAPI. Projects: Vocaro (AI Meeting Intelligence Platform), MediAssist (healthcare RAG chatbot), NexVisa (visa information system for 192+ countries). I deliver clean, deployable code with React frontends and FastAPI backends. Let's build something smart together.... Lee más

Habilidades

m
muqaddas_b7
Muqaddas
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Desarrollo de chatbots de IA
I will build a custom ai chatbot with rag pipeline and fastapi
Integraciones de IA
I will build a fastapi backend with llm integration

Porfolio

Experiencia laboral

Self_Employed

Self Employed

Trabajador autónomo • 5 mos

AI Engineer

Mar 2026 - Jun 20263 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 20262 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.