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Full Stack Engineer with 2+ years in Java, React.js, and Node.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a self-motivated full-stack developer with strong foundations in Java, React.js, and Node.js. Trained at Scaler Academy, I have hands-on experience in building and deploying scalable web applications. Skilled in backend services, RESTful APIs, authentication, and responsive frontend development, I focus on writing clean, modular code. I continuously improve my skills through real-world projects, debugging challenges, and GitHub contributions.
Scaler Academy
Full-Stack Development
August 1, 2023 – Present
Guru Gobind Singh Indraprastha University
BCA · Computer Science
August 1, 2020 – June 30, 2023
GrassFront BizzEazy Pvt. Ltd
SDE Intern
December 1, 2025 – Present
Gurgaon, Haryana, India
Movie App
August 1, 2023 – June 1, 2026
Developed a movie discovery platform with real-time IMDB API integration. Implemented dynamic filtering (by rating) and a personalized watchlist for enhanced UX. Optimized API request handling, achieving faster response times and reduced load overhead.
BookMyShow Clone
August 1, 2023 – June 1, 2026
Engineered a full-stack ticket booking platform inspired by BookMyShow. Integrated JWT authentication and a real-time seat booking system to ensure security and reliability. Built an admin control panel for managing movies, theatres, and showtimes with role-based access.
TrainerAI – AI Personal Trainer
August 1, 2023 – June 1, 2026
Engineered an AI-driven coaching engine using Google Gemini to generate hyper-personalized workout splits and diet plans based on user biometrics and specific health conditions. Developed a fully responsive, glassmorphic dashboard featuring a custom Muscle Recovery Heatmap and real-time analytics using Recharts. Integrated a gamified leaderboard system and an automated video library that maps exercises to YouTube tutorials for a seamless end-to-end user experience
Cultural Fit Analysis
The candidate demonstrates a proactive approach to learning and skill development through personal projects and a full-stack development program. The diversity of projects (AI personal trainer, ticket booking, movie app) shows a broad interest in different application domains. The current SDE Intern role aligns with a growth-oriented culture, and the stated focus on clean code and continuous improvement suggests a good fit for teams valuing quality and learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a self-motivated individual capable of end-to-end feature development. Collaboration skills are mentioned in the internship description, but specific examples or outcomes are not provided. The focus on clean, modular code and continuous skill improvement suggests a positive work attitude and a desire for growth.