Computer Science graduate (GPA 3.46/4.00, Graduation Project: A+) from BFCAI with hands-on industry experience evaluating AI/ML model outputs at METI, where I consistently delivered top-accuracy results under high-volume…
Computer Science graduate (GPA 3.46/4.00, Graduation Project: A+) from BFCAI with hands-on industry experience evaluating AI/ML model outputs at METI, where I consistently delivered top-accuracy results under high-volume production pressure. Skilled in building end-to-end ML pipelines, deep learning models, and full-stack GenAI applications using Python, TensorFlow, and Scikit-learn. Combines strong software engineering fundamentals (system design, UML, REST APIs) with a self-driven passion for machine learning, reinforced by DeepLearning.AI's Machine Learning Specialization and 80+ hours of applied AI training.
<p>Evaluated and audited AI/ML model outputs against strict quality rubrics, assessing logical reasoning, accuracy, and coherence across large-scale response batches.<br>
Identified recurring edge cases, hallucinations, and error patterns in model responses, feeding actionable insights back into downstream training datasets.<br>
Delivered ~200 complex evaluation tasks during a high-stress production sprint (57-member team, 3,000-task target) while achieving the highest accuracy rating on the floor, demonstrating precision and reliability under pressure.</p>
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