Achievements
Certifications earned and hackathons participated in throughout my journey.
Competed in a 48-hour AI innovation challenge, developing a computer vision application for real-time scene understanding using YOLOv8 and a custom-trained detection model. Worked in a cross-functional team to deploy a full inference pipeline.
Internal ML challenge focused on improving credit risk prediction models. Developed an ensemble approach combining Gradient Boosting and Random Forest with advanced feature engineering, achieving AUC 0.88 on held-out test data.