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Full Stack Developer | Open Source Enthusiast | Java | Python | Building scalable apps & contributing to the dev community
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Luminary-AI
April 17, 2026 – Present
Luminary AI is an AI-powered platform that simplifies global university admissions with smart tracking, AI document review, and ROI-based loan matching. Built with Next.js, Prisma, and Gemini AI, it helps students manage deadlines, improve essays, and plan education finances in one dashboard.
View ProjectFreshFinds-DL
March 26, 2026 – Present
The deep learning application of the fresh finds application
View ProjectFake-news-detector
March 26, 2026 – Present
Multimodal Fake News Detection system leveraging text, image, and video data using advanced machine learning models. Includes deep analysis, performance evaluation, and rich visualizations for robust and interpretable predictions.
View ProjectMinorProject-Tracker
February 17, 2026 – Present
A full-stack admin dashboard for managing and tracking student project groups with real-time progress monitoring, built using MongoDB, Express, React, and Node.js.
View ProjectChat-App
February 14, 2026 – Present
Real-time chat application with WebRTC voice/video calling, built with React, Node.js, Socket.io, and MongoDB. Features include instant messaging, online status, typing indicators, call signaling, chat management, and real-time synchronization.
View ProjectFreshFinds
October 4, 2025 – Present
Connecting local shops with customers by reselling unsold food at affordable prices.
View ProjectEquity-Nest
July 28, 2025 – Present
A comprehensive stock trading platform which features real-time stock data, interactive charts, portfolio management, and Google OAuth authentication.
View Projectzulip
September 25, 2015 – Present
Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
View ProjectCultural Fit Analysis
The candidate has a diverse portfolio of personal projects, including AI/ML applications, full-stack development, and real-time communication systems. This breadth suggests adaptability and a willingness to explore different technical domains, which can be a positive indicator for cultural fit in a dynamic environment. The focus on personal projects indicates self-motivation and initiative. The projects 'FreshFinds-DL' and 'Fake-news-detector' align well with a Data Scientist role, demonstrating relevant interests.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges. However, without psychometric test results or interview data, it is difficult to assess specific soft skills or operational fit.