Piyush Hole

B.Tech Computer Engineering Student | Aspiring Full Stack Developer
Pune, IN.

About

Highly motivated Computer Engineering student pursuing a B.Tech, with practical experience as a Full Stack Developer Intern. Proven ability to develop robust web applications, integrate complex systems, and enhance user experiences using Java, ReactJS, MySQL, and Deep Learning. Recognized for strong problem-solving skills and a track record of delivering impactful projects and competitive coding achievements, eager to contribute to innovative software development.

Work

Yatrifriendly
|

Java Full Stack Developer Intern

Pune, Maharashtra, India

Summary

Developed a secure admin panel and API endpoints for user management, enhancing operational efficiency and user experience.

Highlights

Developed a robust admin panel for secure user management, integrating JWT for authentication to fortify system security.

Engineered API endpoints using Java, enabling seamless CRUD operations and efficient data management for the platform.

Designed and implemented interactive Login, Dashboard, and User Management pages, leveraging ReactJS for an intuitive and user-friendly interface.

Utilized MySQL for database management and Git for version control, ensuring efficient development workflows and collaborative coding practices.

Oasis Infobyte
|

Web Developer Intern

Pune, Maharashtra, India

Summary

Developed diverse web applications, demonstrating proficiency in front-end development and user interface design.

Highlights

Engineered a functional calculator and a TODO-web application using HTML, CSS, and JavaScript, showcasing foundational web development skills and logical implementation.

Designed interactive Tribute and Login Authentication Pages, enhancing user engagement and accessibility through responsive design.

Applied HTML, CSS, and ReactJS to create user-friendly interfaces, ensuring cross-browser compatibility and a seamless user experience.

Managed code versions with Git, contributing to organized and collaborative project development and efficient workflow management.

Education

Pimpri Chinchwad College of Engineering
Pune, Maharashtra, India

B.Tech

Computer Engineering

MIT Polytechnic Pune
Pune, Maharashtra, India

Diploma

Computer Engineering

Grade: 89.49%

Secondary Schooling
Bhusawal, Maharashtra, India

High School

SSC Board

Grade: 79%

Awards

Codeverse State Level Coding Competition - 3rd Rank

Awarded By

Codeverse

Achieved 3rd rank out of 500+ participants in the Codeverse State Level Coding Competition, demonstrating exceptional problem-solving and algorithmic skills.

Smart India Hackathon (SIH) Selection

Awarded By

Smart India Hackathon

Selected to participate in the prestigious Smart India Hackathon (SIH), recognizing innovative thinking and technical aptitude.

Certificates

AICTE-EduSkills Android Development Virtual Training

Issued By

AICTE-EduSkills

Skills

Programming Languages

Java, SQL, C++, C, Python, JavaScript.

Databases

MySQL, MongoDB, Firebase.

Web Technologies & Frameworks

HTML, CSS, ReactJS, Node.js, Spring Boot, JSP, Flask.

Cloud & DevOps

AWS, Docker, Git, GitHub, Version Control.

Machine Learning & AI

Deep Learning, TensorFlow, CNN, SVM, ANN, Facial Expression Recognition.

Software Development Fundamentals

Data Structures, Algorithms, Operating System, Object-Oriented Programming (OOP), Software Engineering, Computer Networks, Virtualization.

Developer Tools

VS Code, PyCharm.

Projects

MediFlora: Medicinal Plant Recognition

Summary

A web-based application that identifies medicinal plants, provides accurate predictions, and offers information on their healing properties.

ExamDesk- Online Exam System

Summary

A comprehensive online exam platform facilitating seamless conduct of online exams for students, offering essential features for user, exam, and question bank management, and result evaluation.

Real time facial expression recognition using Deep Learning

Summary

A standalone application that detects facial expressions in real-time and predicts one of seven global emotions, utilizing advanced Deep Learning and Machine Learning models.