Nikhil Gupta

Entry-level Software Developer

0+ yrs exp 80 · Excellent

About

Entry-level Software developer with strong foundations in full-stack development, data structures, and analytical problem-solving. Experienced in building scalable web applications and working with structured data using Java, React, and MySQL. Demonstrates strong attention to detail, logical reasoning, and an interest in AI workflows including prompt evaluation, data annotation, and model behavior analysis.

Skills & Expertise (26)

JavaScript Intermediate

6.4/10

0.25

Years Exp

GitHub Intermediate

6.4/10

0.25

Years Exp

Git Intermediate

6.4/10

0.25

Years Exp

MySql Intermediate

6.4/10

0.25

Years Exp

CSS3 Intermediate

6.4/10

0.25

Years Exp

HTML5 Intermediate

6.4/10

0.25

Years Exp

React.js Intermediate

6.4/10

0.25

Years Exp

Java Intermediate

6.4/10

0.25

Years Exp

Spring Core Intermediate

5.6/10

0.25

Years Exp

Technical Writing Intermediate

5.6/10

0.25

Years Exp

Unit Testing Intermediate

5.6/10

0.25

Years Exp

Agile Development Intermediate

5.6/10

0.25

Years Exp

OOP Intermediate

5.6/10

0.25

Years Exp

Data Structures & Algorithms Intermediate

5.6/10

0.25

Years Exp

Postman Intermediate

5.6/10

0.25

Years Exp

Spring Boot Intermediate

5.6/10

0.25

Years Exp

VS Code Eclipse Vercel MongoDb Hibernate DBMS Operating systems Computer Networks JDBC Servlets

Work Experience

Java Full Stack Developer Intern

EduSkills Academy — AICTE Internship Program

Jan 2026 - Mar 2026

Built a full-stack Quiz Management web application (QuizNova) with a Spring Boot backend and JWT-based authentication, exposing REST APIs for quiz creation, attempts, and scoring. Designed a 5-table normalized MySQL schema with full CRUD operations using a layered DAO architecture, ensuring data integrity across all modules. Developed a responsive frontend across 4 functional pages using HTML5, CSS3, and JavaScript, integrating with backend APIs end-to-end. Wrote 10+ unit and integration test cases covering input validation, edge cases, and error handling — demonstrating structured quality evaluation mindset applicable to LLM output assessment. Maintained clean version history using Git and GitHub, following branching and commit best practices throughout the project lifecycle.