SHIVA CHARAN KOLA

Innovative and highly motivated Master's graduate with a strong academic background in Embedded Systems and Machine Learning. Adept at designing and implementing intelligent systems that seamlessly integrate hardware and software. Seeking an entry-level position where I can apply my expertise to drive technological advancements and contribute to cutting-edge projects in a dynamic and collaborative environment.

• Object detection using YOLO

Implemented real-time object detection using YOLOv5 by building my own dataset and enhancing accuracy and  speed in identifying multiple objects within images. Configured and fine-tuned the YOLOv5 model, achieving a 15% improvement in mAP (mean Average Precision)  on a custom dataset.

• Automatic Traffic Sign Recognition

Implemented a deep learning model based on LeNet architecture for automatic recognition of traffic signs contributing to enhanced road safety. Trained the model on a comprehensive dataset, achieving a classification accuracy of 92% on novel traffic sign  images.

• Classification of Handwritten digits based on a Convolutional Neural Network

Developed a Convolutional Neural Network (CNN) for accurate classification of handwritten digits. Trained the  model on the MNIST dataset, achieving a classification accuracy of 98%, showcasing proficiency in deep learning  and image recognition. 

• Decentralized voting system using Ethereum blockchain

Designed and developed a website with a blockchain backend and HTML frontend. Showed a chart of live vote count to understand who is winning.

• Smart Shopping using RFID

Implemented an RFID-based system to enhance the shopping experience, enabling seamless and efficient product  tracking. Developed a user-friendly interface for shoppers, allowing them to access real-time product information, prices,  and recommendations, optimizing the overall shopping process.

Date of Birth: 05-08-2000

Nationality: Indian

Visa: Aufenthaltserlaubnis