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Freelancer Overview

I have over 12 years of experience designing and building scalable, cloud-native systems with a strong focus on AI/ML integrations and data-centric workflows. My expertise includes architecting distributed data pipelines, implementing LLMs and agentic AI, and leading full-stack development for SaaS and enterprise platforms. I have hands-on experience with data labeling and annotation processes, particularly in projects involving NLP, RAG, and computer vision, using tools like TensorFlow, PyTorch, Hugging Face, and Kubeflow. My technical toolkit spans Python, Java, JavaScript, cloud platforms (AWS, GCP, Azure), and big data technologies, allowing me to deliver robust, high-quality AI training data solutions that power real-world applications across fintech, media, and enterprise domains. I excel at translating business requirements into actionable data strategies, ensuring compliance, and collaborating with cross-functional teams to drive impactful AI outcomes.

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