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Amrita University, Coimbatore
Mobile Application Developer
June 14, 2026 – Present
judex
June 2, 2026 – Present
Judex is a code execution service built with Go, Redis, and Docker that securely runs user code in isolated containers using asynchronous job queues and concurrent workers.
View Projectauth
May 16, 2026 – Present
An authentication infrastructure built in Go - secure user auth, session lifecycle management, token rotation, revocation, rate limiting, and production grade security primitives for modern applications.
View ProjectSpendify
May 11, 2026 – Present
Spendify is an AI-powered personal finance and expense tracking App developed by the iDEA Club, Amrita Vishwa Vidyapeetham. It helps users monitor spending, analyze financial habits, gain AI-driven insights, and make smarter budgeting decisions through an intuitive cross-platform experience.
View Projectgit-scanner
April 5, 2026 – Present
Fast concurrent secret scanner for Git repositories with signature, keyword, and entropy-based detection, built in Go with optional full history scanning.
View Projectwha-cli
March 17, 2026 – Present
Whatsapp CLI ..An attempt to build whatsapp web like cli for learning go and having fun
View ProjectPacman
December 24, 2025 – Present
Project for Design and Analysis of Algorithms (23CSE211) - Pacman implementation.
View Projectstock-analysis
November 22, 2025 – Present
This project implements a financial analysis chatbot designed to provide comprehensive insights and recommendations for stock tickers or companies.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards backend systems, low-level programming (Go, C++), and infrastructure development. While there is one mobile application project (Spendify) using Dart/Flutter, the majority of projects lean towards system programming and web services. This might indicate a potential mismatch with a pure 'Mobile Application Developer' role if the role primarily focuses on front-end mobile UI/UX and platform-specific intricacies rather than underlying mobile architecture or backend integration. The breadth of technologies (Go, Python, C++, Dart, Kotlin, Java) suggests adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual with a strong interest in building complex systems. The variety of personal projects suggests a continuous learning mindset and an ability to work independently. However, without specific psychometric test results or interview data, it is difficult to assess communication, teamwork, and stress handling directly.