Scale AI
A very critical and sprint project related to video annotation
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I am a graduate engineer with hands-on experience in data analysis, research methodologies, and AI model training, particularly in sports engineering and mathematical domains. I have worked as a Math Research Analyst, where I advanced AI model comprehension by training large language models (LLMs) on extensive mathematical datasets, performing data cleansing, validation, and preprocessing to ensure high-quality, reliable datasets. My technical proficiency includes Python, MATLAB, Simulink, and prompt engineering, enabling me to handle complex data annotation and labeling tasks. With a strong foundation in simulation analysis, sports data analytics, and performance benchmarking, I am adept at generating actionable insights from diverse data sources and supporting the development of robust AI solutions. My background in cross-functional collaboration and commitment to quality make me well-suited for roles focused on AI training data and data annotation.
A very critical and sprint project related to video annotation
The project involved evaluating AI generated responses to engineering problems
Doctor of Philosophy, Mechanical Engineering
Master of Science, Sports Engineering
Footwear Development Researcher
Math Research Analyst