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AWS SageMaker

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Freelancer Overview

With over 3 years of experience as a Machine Learning Engineer, I have a strong background in building and deploying end-to-end AI systems, with a particular focus on data labeling, annotation, and training data pipelines. My expertise includes working with NLP and computer vision projects, such as clinical data matching and real-time face recognition, where I have leveraged tools like Hugging Face Transformers, OpenCV, and vector databases (FAISS, Pinecone, Chroma) to ensure high-quality, accurate datasets for model training and evaluation. I am skilled in Python, TensorFlow, and MLOps practices, and have implemented scalable microservices and automated data workflows using FastAPI, Celery, and AWS. My experience spans designing secure, robust data pipelines and integrating monitoring solutions to maintain data integrity and model performance, especially in medical and security domains. I am passionate about delivering reliable AI solutions by ensuring the quality and consistency of labeled and annotated data throughout the development lifecycle.

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