GenAi Specialist
Developed JSON prompt templates for automation on n8n. Reviewed RAG and AI agent output for accuracy and completeness.
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I am a Python developer with hands-on experience in AI, machine learning, and data science, specializing in building scalable data pipelines and optimizing workflows for AI training data. My work includes developing Python-based data collection and transformation pipelines for LLM training datasets, automating data preparation using Unix tools, and implementing robust data validation scripts. I have contributed to projects involving computer vision, regression, clustering, and chatbot deployment, utilizing tools such as LangChain, LLama Index, n8n, and cloud platforms like IBM Cloud and AWS Bedrock. I am passionate about leveraging deep learning frameworks and no-code/low-code tools to deliver accurate, high-quality labeled data that drives impactful AI solutions. My background in data analysis, workflow automation, and stakeholder collaboration equips me to deliver reliable training data and support data-driven decision-making across diverse domains.
Developed JSON prompt templates for automation on n8n. Reviewed RAG and AI agent output for accuracy and completeness.
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