Kapil Charbhare
@kapil.charbhare
Software Engineer at Capgemini
Aurangabad, Maharashtra, India
The landscape of computer vision libraries is a vibrant tapestry, each thread offering unique functionalities. The key lies in strategically combining these libraries strengths - leveraging OpenCV versatility, TensorFlow deep learning prowess, PyTorch rapid prototyping capabilities, Scikit-image pre-processing power, and Keras user-friendly interface and YOLO 8. This synergistic approach empowers developers to efficiently build robust and cutting-edge computer vision applications.
Experience
Software Engineer
Capgemini
Software Engineer Trainee with 6 months of experience. Good understanding of C, Linux, Data Structures, IoT Protocols - COAP, LWM2M, TLS, DTLS, TCP/IP. Developed software for embedded systems, coding solutions for both new installations and incite hardware. Collaborated with experienced developers, tackling real-world coding challenges and learning industry best practices for software development in C/C++ and embedded systems.
Web Developer
Fly-view GIS Technology PVT.LTD
Web Development with 3 months of experience. Developed user-friendly interfaces ensuring websites function seamlessly across various devices. Implemented user interfaces using HTML, CSS, and JavaScript frameworks.
Education
MGM's Jawaharlal Nehru Engineering College
Bachelor of Technology
Information Technology
Aurangabad
Shri Santaji Jr. College
12th
Aurangabad
Ravindranath Tagore Vidyalaya
10th
Latur