Quincy Simms

Artificial Intelligence Researcher

Outlier AI

Feb 2024 - Oct 2024 (9 months)

• Collaborate with cross-functional teams to develop and implement innovative speech synthesis techniques to enhance our AI Healthcare Agent. • Conducted research initiatives focused on advancing speech synthesis capabilities for medical applications, including TTS (Text-to-Speech), SST (Speech-to-Speech translation), and voice conversion methods. • Drive the development of novel approaches in accent modeling, style transfer, and multi-language audio synthesis to improve the efficacy and versatility of our healthcare AI platform. • Conduct experiments, analyze results, and publish findings in top-tier conferences and journals within the healthcare and AI domains.

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Artificial Intelligence Researcher

Infogito

Apr 2021 - Jan 2024 (2 years 10 months)

• Developed and implemented machine learning algorithms to analyze large data sets. • Conducted in-depth data analysis to identify patterns and trends, providing actionable insights for business decision-making. • Developed and implemented machine learning models to optimize processes, resulting in a 15% increase in efficiency. • Collaborated with cross-functional teams to design and deploy AI solutions, ensuring seamless integration with existing systems. • Published research papers in reputable journals, contributing to the advancement of AI and data analysis in the field.

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Artificial Intelligence Research Analyst

Green tree Capital

Mar 2019 - Apr 2021 (2 years 2 months)

• Collected, cleaned, and analyzed large data sets to extract meaningful insights, improving decision-making processes. • Created and maintained automated data pipelines, reducing processing time. • Produced comprehensive reports and visualizations to communicate findings to non-technical stakeholders. • Collaborated with business units to identify opportunities for process optimization through data-driven solutions.

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Artificial Intelligence Researcher

PETADATA AI

• Conduct research on prompt engineering techniques to improve the performance and interoperability of generative models. • Collaborate with data scientists, prompt engineers, and AI researchers to design, experiment, and evaluate prompts across various generative AI models.

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