Ziqi is deeply passionate about leveraging machine learning to create meaningful impact. Beyond her expertise in ML, she possesses extensive hands-on experience across frontend, backend, and infrastructure, along with strong interpersonal skills that make her an effective collaborator.
As a product-driven software engineer specializing in ML, Ziqi actively seeks opportunities to enhance user experiences through innovative technologies. Whether fine-tuning BioBERT models with PyTorch to improve medical categorization efficiency, implementing Redis caching strategies to significantly reduce query response times, or deploying scalable ML applications on AWS to ensure robust performance, she embraces challenges that drive user-centric solutions.
Additionally, Ziqi is highly proficient in JavaScript and has developed interactive, responsive web dashboards that enable seamless real-time data visualization and enhance user engagement. Her technical versatility, problem-solving skills, and commitment to delivering impactful solutions make her an exceptional candidate.
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