Annarapu Virupaksh AI/ML Intern | Data Science & Machine Learning |Software Developer +916305567851 ◇ www.linkedin.com/in/virupaksh-annarapu-964079295 ◇ https://github.com/vickysaii SUMMARY AI enthusiast with practical experience in computer vision and deep learning , including leading a real-world Driver Monitoring System project for the Indian Army using YOLOv8 and OpenCV . Highly motivated to work on Generative AI projects , currently exploring LLMs, AI agents, LangChain frameworks , and intelligent automation workflows. Strong in Python-based AI development , with complementary skills in Java, DSA , and modern web technologies , supporting scalable AI-powered products. EXPERIENCE Web Developer Intern Globus IT Jun '24 — Aug '24 Hyderabad, India Created a full-stack DevOps website to manage and monitor work data of employees. Developed comprehensive reports for DevOps practices, streamlining project workflows. . Tech Stack used : React.js, PHP, HTML, CSS, JavaScript, REST APIs, Postman Development and coding , Wrote a proposal for creating a dashboard PROJECTS Driver Monitoring System - Computer Vision Led the end-to-end development of a real-time Driver Monitoring System for the Indian Army , aimed at improving road safety and reducing fatigue-related accidents. Designed and trained a YOLOv8-based deep learning model to detect unsafe driver behaviors such as dangerous driving, drowsiness (yawning), distraction, and drinking while driving Built a real-time video inference pipeline using OpenCV , enabling live detection through webcam and recorded video feeds. Led a team as Project Lead , managing task allocation, model experimentation, debugging, and final integration. Dog Breed Prediction using Deep Learning Developed a deep learning model using TensorFlow to classify dog images into their respective breeds. Implemented Convolutional Neural Networks (CNNs) with data augmentation and transfer learning for improved accuracy. Processed and trained the model on a large-scale image dataset, achieving high prediction performance. Applied techniques such as image preprocessing, feature extraction, and model optimization for robust results. Heart Disease Prediction | Machine Learning Project Developed and compared multiple ML models ( Logistic Regression, Random Forest, XGBoost ) to predict heart disease from clinical data. Achieved 85% accuracy using Scikit-learn , with performance evaluation through confusion matrix, precision, recall, and F1-score. Applied data preprocessing (feature scaling, missing value handling, and encoding) to enhance model performance. CERTIFICATIONS AI&ML , Data Science Bootcamp , Udemy Exploratory Data Analysis , NASSCOM FutureSkills Prime (MeitY, Government of India initiative) AWS Cloud Foundation Data Processing and Visualization , Accenture SKILLS Programming Languages Java, Python, Javascript, Data structures and Algorithms, OOP AI & ML Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NumPy, Agents, LLMs, HuggingFace, NLP Web & API React.js, REST APIs, MongoDB, Tailwind Css Cloud & Tools AWS (S3, Athena, EC2), Postman, Git, GitHub Soft Skills Analytical Thinking, Problem Solving, Adaptibility, Team Collaboration, Communication Skills EDUCATION ICFAI University (GPA: 6.44) Jan '22 — Jan '26 Exellencia junior college (GPA: 94.3%) Jan '20 — Jan '22 St Andrews High School (GPA: 74.1%) Jan '20