Yash Shete Email and Phone Number

As a Java Full Stack Intern, I gained hands-on experience in developing and maintaining web applications using Java technologies. Collaborating with experienced developers, I was involved in the entire software development lifecycle, from designing and implementing back-end services to creating responsive front-end interfaces. My responsibilities included writing clean and efficient code, debugging and troubleshooting issues, and integrating with databases and external APIs. Throughout the internship, I honed my skills in Java, Spring Boot, JavaScript, HTML, CSS, and other relevant technologies, while also learning about agile development methodologies and best practices in software engineering. Passionate about continuous learning and innovation, I was dedicated to contributing to the success of projects and expanding my knowledge in the field of full stack development.

Internship in core javaExecuted project - Term Work Management System.I acquired practical experience in Java programming fundamentals and core concepts. Working closely with seasoned developers, I contributed to various aspects of software development, including coding, debugging, and testing Java applications. My responsibilities encompassed writing clear and concise code, implementing algorithms, and collaborating on team projects to deliver efficient solutions. Through this internship, I deepened my understanding of object-oriented programming, data structures, and algorithmic principles. Additionally, I gained exposure to industry-standard development tools and practices, enhancing my skills in software engineering. Committed to continuous learning, I eagerly embraced new challenges and opportunities to expand my proficiency in Core Java development.

Summer TrainingCompleted comprehensive training in Artificial Intelligence (AI) and Machine Learning (ML) using Python. Throughout the program, I delved into various AI and ML concepts, including supervised and unsupervised learning, neural networks, deep learning, natural language processing, and computer vision. Hands-on experience with Python libraries such as TensorFlow, Keras, scikit-learn, and PyTorch enabled me to build and deploy predictive models for real-world applications. Additionally, I gained proficiency in data preprocessing, feature engineering, model evaluation, and optimization techniques. Equipped with this knowledge, I am excited to apply AI/ML algorithms to solve complex problems and drive innovation in diverse domains.