Seeking full-time positions in software development and machine learning, leveraging expertise in advanced algorithm development and cross-functional collaboration
Led a team of 3 interns in developing a Credit Card Fraud Detection machine learning project.
Trained the model with over 600,000 rows of data, achieving an accuracy rate exceeding 88 percent.
Implemented the project using Flask and integrated an HTML page for user interface, demonstrating strong technical skills and project management abilities.
Optimizing generative AI writing models for improved performance.
Assessing and assigning performance ratings (such as SXS) to AI models.
Collaborated with clients to optimize AI model performance and meet project objectives.
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