Hi I'm

Jagjeet Singh

Welcome to my portfolio website! I'm a passionate and aspiring software engineer with a strong desire to create innovative solutions and push the boundaries of technology.With a deep love for coding and problem-solving, I am constantly seeking opportunities to learn and grow in this ever-evolving field

Download CV Contact

About Me

I am currently pursuing my final year Bachelor's Degree in Computer Science and Engineering.I have built a solid foundation in software development.
My expertise in these areas allows me to approach projects with confidence and deliver high-quality results. I have a strong belief in the value of continuous learning and staying adaptable in the ever-evolving world of software engineering.
I actively seek out opportunities to expand my knowledge and skills, embracing new technologies and approaches.Feel free to explore my work and get in touch if you have any questions or opportunities to collaborate.

Education

B.Tech CSE Core - 8.82/10 (Current)

VIT Bhopal University

2022-2026

Class 12 - 93%

St. Joseph's Convent Senior Secondary School

2022

Class 10 - 89.8%

St. Joseph's Convent Senior Secondary School

2020

Internship

SDE Intern

BlueStock Fintech

Aug-2024 to Sept-2024

Designed and developed user-friendly and visually appealing web pages using HTML, CSS, and JavaScript. Implemented responsive design principles, ensuring compatibility across various devices. Completed tasks including bug fixing, feature development, and performance optimization.

Industrial Intern

Hyderabad , India

2024

Integrated industry-leading technologies like Machine Learning and IoT into practical projects, reducing completion time by two weeks. Gained hands-on exposure to automation strategies at Sabik Academy, T-Hub, T-Works, CSMD, and LT Metro

My Projects

Discover my projects, where creativity meets innovation

Smart Form AI

Engineered an AI-powered dynamic form creation system with Next.js and optimized data handling with Drizzle ORM and Neon.

View Project

Potato Disease Detection

Developed a machine learning model in Python for potato disease detection, achieving 92% accuracy.

View Project

RazorPay Clone Website

Developed a Razorpay website clone using HTML, CSS, and JavaScript, achieving 95% similarity to the original.

View Project

Contact Me

Get In Touch