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SuperAnnotate

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Freelancer Overview

I am an AI Engineer with hands-on experience in building production-grade AI systems focused on NLP, voice AI, and generative models, where high-quality training data and precise data annotation are critical. My expertise includes developing and deploying multi-agent AI platforms, implementing Retrieval-Augmented Generation (RAG) using vector databases like FAISS and ChromaDB, and leveraging state-of-the-art LLMs such as GPT-4 for tasks like automated quiz generation and enterprise knowledge retrieval. I have worked extensively with data pipelines for real-time voice and text processing, ensuring accurate labeling and annotation to achieve over 94% transcription accuracy and 95%+ model performance. My technical skills span Python, PyTorch, TensorFlow, Hugging Face Transformers, and cloud platforms like AWS, enabling me to deliver robust AI solutions that depend on well-structured and reliable training data.

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