I’m Sandra Herbert, a curious and people-minded computer science student with a background that spans healthcare, peace and conflict studies, and hands-on work in AI and data analysis. I’m especially drawn to roles where I can combine technical problem-solving with real-world impact—whether that means building digital solutions, analyzing data, or supporting organizations working under pressure.
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I designed and developed an AI-powered agent to automate repetitive tasks and improve workflow efficiency. The system uses modern language models and prompt engineering techniques to handle tasks such as text generation, data organization, and basic decision-making processes.
The AI agent was built to simulate real-world use cases, including assisting with administrative workflows, content generation, and task automation. I also worked with AI platforms to integrate and test different tools, ensuring the system delivers accurate and useful outputs.
Through this project, I gained hands-on experience in building practical AI solutions, working with APIs, and optimizing prompts for better performance. The result is a functional and scalable AI system that can be adapted to different business needs.
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