Rajesh Rimmalapudi

• Orchestrated a groundbreaking project that harnessed wireless sound control through finger sign gestures, achieving a remarkable 15% increase in user satisfaction compared to traditional volume adjustments. • Spearheaded a comprehensive Natural Language Processing (NLP) initiative by contributing to sentiment analysis of restaurant reviews, resulting in a 95% accuracy rate in sentiment classification. • Fostered a collaborative environment by actively engaging with mentors and peers, which led to a 40% reduction in issue resolution time and showcased strong interpersonal and communication skills.

• Collaborated in a cross‑functional team of 6 interns, developing an AI‑powered chatbot that reduced customer query response time by 30%. • Developed and tested Python scripts for data preprocessing, reducing data preparation time by 25% and enhancing overall efficiency. • Independently completed a comprehensive project on anomaly detection, achieving a precision score of 92% and showcasing proficiency in practical AI applications. • Attended the 10 weeks of course classes without fail and completed the internship successfully

Led a project focused on self‑driving cars, achieving a 23% reduction in prediction error for steering angles through advanced AI techniques. • Developed and fine‑tuned a deep learning model, resulting in a 17% increase in overall accuracy compared to baseline models. • Collaborated effectively in a remote team of interns, facilitating seamless communication and delivering project milestones on schedule.