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TextI am an AI and Machine Learning specialist with strong expertise in data labeling, annotation, and AI training data preparation for high-performance models. My experience spans computer vision, natural language processing (NLP), and time series forecasting, with a proven ability to design and execute complex annotation pipelines using tools such as Label Studio, CVAT, and custom Python scripts. I have built and deployed advanced AI systems integrating real-time data ingestion (Kafka, Airflow), vector databases for semantic search, and retrieval-augmented generation (RAG) pipelines using LangChain and Sentence-BERT. I have delivered production-grade AI projects including real-time stock and demand forecasting with LSTM/GRU models, multi-agent AI workflows for research automation, and cross-lingual semantic search systems. My technical stack includes Python, SQL, Azure, AWS, and MLOps practices (Docker, CI/CD, SageMaker deployment). Combining my deep ML knowledge with meticulous data labeling expertise, I ensure high-quality datasets that drive model accuracy, scalability, and real-world performance.
I created an ia agent that automatically extract the data from receipts and had to use data labeling
State Engineering Cycle, Operations Research & Decision Science
Preparatory Classes, MPSI/MP
Intern
