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Backend Developer 🖤 | | AI Explorer 🤖 || I build apps that think, learn & scale 🚀
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Assessing your cultural and operational fit
Job-Preparation-App
September 29, 2025 – Present
A microservices-based backend that generates role-specific interview questions using AI, accepts text or voice answers, evaluates responses with scoring, and tracks performance. Built with Spring Boot, MongoDB, JWT authentication, and integrated AI services for a personalized, interactive interview practice experience.
View ProjectMachine_Learning_Project
September 14, 2025 – Present
This project is an interactive Machine Learning application built with Streamlit, where users can explore multiple datasets and see how different ML models make predictions.
View ProjectAI-based-Interview-Application
August 8, 2025 – August 8, 2025
An AI-powered interview preparation platform that helps candidates practice, get evaluated, and track their progress.
View ProjectMovie-booking-Application
July 3, 2025 – November 11, 2025
A backend system built with Spring Boot that mimics features of a movie-ticket booking service like BookMyShow. It enables users to browse, book, and cancel movie show tickets, manages shows (with time, date, pricing), handles user authentication, sends email notifications, and provides API documentation.
View ProjectJournal-Application
June 5, 2025 – June 28, 2025
A Springboot Application that stores the journal entries of users
View ProjectSchool-Management-Application
June 5, 2025 – June 19, 2025
A Springboot application that handles the management of a School
View Projecttodo-highlighter-plugin
May 30, 2025 – May 31, 2025
An IntelliJ IDEA plugin that highlights TODO comments in Kotlin files.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, including several Java/Spring Boot backend applications and a Machine Learning project. This demonstrates initiative and a broad interest in software development and data science. The focus on personal projects suggests self-motivation and a drive for continuous learning, which are positive indicators for cultural fit in a dynamic technical environment. The target role is 'Data Scientist', and the candidate has one direct ML project, indicating some alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex backend systems and AI-related applications, suggesting problem-solving and technical execution skills.