Shaghayegh
Matlabi

I’m an AI/ML Engineer specializing in Python, LLM applications, RAG systems, NLP, and AI-powered backends. I have hands-on experience building and deploying real-world AI projects, including RAG chatbots, FastAPI-based AI services, LLM integrations, speech AI systems, and machine learning models. My experience includes Python, FastAPI, OpenAI APIs, vector search, FAISS, Redis, PostgreSQL, Docker, PyTorch, TensorFlow, n8n, STT/TTS, and AI automation. I focus on building practical, reliable AI solutions that can move from prototype to production. I’m comfortable working with existing codebases, integrating AI models and APIs, debugging systems, and developing new AI features from scratch. I’m open to freelance AI/ML, LLM, RAG, NLP, chatbot, automation, and Python backend projects.

linkedin.com/in/shgyg99

https://github.com/shgyg99

Work experience

Ninihub startup

July 2025 – January 2026

Job title

AI/ML engineer

Work experience & achievements

Developed and deployed a production-ready AI assistant for parenting and child-health questions, designed to provide reliable answers based on a curated knowledge base. Key features and technologies: * Built a RAG-based question-answering system using Python and FastAPI * Integrated OpenAI-compatible LLM and embedding APIs * Implemented semantic search using FAISS vector database * Used Redis for caching and conversation-related data * Processed and prepared Persian-language content for retrieval * Added streaming responses for a better chatbot experience * Integrated speech-to-text and text-to-speech capabilities * Built APIs for text and voice interactions * Implemented image analysis capabilities for user queries * Designed the backend for scalable deployment and production use * Integrated automated content workflows using n8n and external APIs The project involved the complete AI application pipeline, from data processing and retrieval to LLM integration, API development, and d

Aronfund

July 2026 – Current time

Job title

AI/ML engineer

Work experience & achievements

Developed a real-time multilingual AI voice assistant for an interactive holographic kiosk. * Integrated OpenAI Realtime API and WebRTC for real-time voice conversations * Built STT → LLM → TTS pipelines for English, Arabic, and Kurdish * Fine-tuned a Kurdish TTS model using VITS and custom voice data * Developed real-time backend services with Python, WebSockets, and async programming * Improved conversation reliability, interruption handling, VAD, and production error handling