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Computer Code ProgrammingYOLOv8 Fine-tuning Data Labeling for Bug Detection Project. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Nilkamal School of Mathematics, Applied Statistics and Analytics, SVKM’s NMIMS (2024) and Bachelor of Science, K.P.B. Hinduja College (2024). AI-training focus includes data types such as Image and labeling workflows including Fine-tuning.
Write Proper Prompts and Evaluate the model responses based on Evaluation Metrics At Scale AI
Fine-tuned the YOLOv8 model using a custom-labeled dataset of video game frames to enhance in-game entity and anomaly detection. Labeled over 5,900 frames to distinguish glitches and relevant objects, supporting automation in quality assurance processes. Iteratively improved detection performance by updating annotation criteria and evaluating results. • Processed and annotated thousands of video frames to develop a robust dataset • Conducted iterative validation to ensure label consistency and quality • Collaborated in the training and evaluation of object detection models • Contributed to a system that accelerated manual bug detection work by more than 50%.
Written proper Prompts and Responses based on Given instruction At Scale AI; Worked As A Attempter and Reviewer; Achieved 4.6/5 Rating
Bachelor of Science, Information Technology
Higher Secondary Certificate, Science
Data Science Intern
