Yogyata Negi Portfolio

About Me

Hii, I am Yogyata Negi, a passionate full stack developer with experience in building dynamic web applications. I enjoy solving complex problems and constantly strive to improve my skills and knowledge. In my spare time, I love exploring new technologies and contributing to open-source projects.

Skills

Experience

Education

Web Technology
HTML, CSS, Java Script, Bootstrap
Programming Language
C, C++, Java
Java Technology
JDBC, Servlet ,JSP
Frameworks & Libraries
Spring Boot, Hibernate
Database
MySql, Orecle
Other
Data Structures and Algorithms (DSA), Git

Internship

Internship of Three Months as a Software Developer intern
Bluestock
Internship of Three Months as a Software Developer intern
Travifie

Current pursuing (B.Tech CSE)
Graphic Era Hill University
Dehradun (Uttarakhand)
Higher Education (12th) - 2022
Subash Chandra Bose Academy
Dehradun, Uttarakhand
Secondary Education (10th) - 2020
Subash Chandra Bose Academy
Dehradun, Uttarakhand
PESE (Practical for Employability Skill Enhancement (L))

My Web Development Services

React & React Native Apps

Build high-performance web and mobile applications with React.js and React Native. I specialize in:

Component-based architecture
State management (Redux/Context API)
RESTful API integration (like in Travifai project)
Cross-platform mobile development

Full-Stack Web Apps

End-to-end solutions using MERN stack and Spring Boot:

UI/UX design with Figma
Backend microservices (4+ built at Travifai)
MongoDB/MySQL database integration
Heroku/AWS deployment

API Development

Professional API services including:

RESTful API design with Swagger docs
Secure authentication systems
Search API development
Dockerized microservices

Projects

Instagram Profile Manager

A Python-based project to manage and interact with Instagram profiles. Features include downloading profile pictures, fetching user data through API or scraping, and offering both CLI and GUI interfaces. The project demonstrates skills in web automation and social media API integration.

Selfie Capture with Smile Detection

A computer vision project comparing Haar Feature Selection and Mouth Aspect Ratio (MAR) techniques for smile detection. The system automatically captures selfies when smiles are detected, with comprehensive performance evaluation metrics. Demonstrates expertise in OpenCV, facial recognition, and real-time image processing.

Pomolectron

A cross-platform Pomodoro timer application for menubar/tray with features including work/break timers, system notifications, and dark mode. Built with Electron.js, it's available for Windows, macOS and Linux. The project showcases skills in desktop application development and productivity tools creation.