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Member Of Technical Staff (MTS) at VYMO ASIA
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Vymo
React Frontend Engineer
June 13, 2026 – Present
Virtual-Locker
April 8, 2026 – Present
A Virtual Locker System that simulates the behavior of real-world physical locker devices in a digital environment. This project is designed to replicate how smart locker terminals work, including locker allocation, category management, slot handling, and user interaction flow.
View Projectauth-service
February 24, 2026 – Present
Spring Boot–based authentication service providing JWT issuance, user management, and secure identity validation for Collabix.
View Projecthealth-sync-engine
February 1, 2026 – Present
Architected and implemented a Java-centric microservices solution for high-volume health data synchronization (Google Fit, Fitbit). Decoupled the Node.js API layer from data ingestion by introducing a dedicated Java Sync Engine communicating via Apache Kafka.
View Projectasync-notification-engine--kafka-FCM-
January 31, 2026 – Present
A scalable, event-driven service that consumes notification events from Kafka and asynchronously processes, routes, and delivers notifications to user devices through multiple channels (push, email, SMS). It handles retries, failure recovery, and high-throughput delivery while ensuring reliable and non-blocking notification dispatch
View ProjectRate-Limiter-Spring-Boot
January 17, 2026 – Present
Designed and implemented a rate limiting system using Spring Boot to control API traffic and prevent abuse. Applied Token Bucket/Sliding Window algorithms with Redis for centralized request tracking. Integrated via filters to handle concurrent requests efficiently and return HTTP 429 responses with minimal latency.
View ProjectBhejoo_frontend
January 8, 2026 – Present
Bhejoo_frontend is a full-stack Zomato-like food delivery application built with React.js frontend and Node.js backend, supporting three roles (User, Restaurant Manager, Delivery Partner) with real-time notifications via Socket.io and database-driven order management.
View ProjectBhejoo_backend
January 8, 2026 – Present
Bhejoo_backend is a scalable Node.js backend powering a Zomato-like food delivery platform, handling authentication, role-based access (User, Restaurant Manager, Delivery Partner), order management, real-time Socket.io notifications, and database operations through RESTful APIs.
View ProjectHeavyProject
January 6, 2026 – Present
HeavyProject is a learning-focused project built to practice and strengthen core development skills. It is used to explore concepts step by step, experiment with features, and gain hands-on experience by building and improving real functionality during the learning process.
View ProjectJobConnect-Mail
September 14, 2025 – September 19, 2025
A job application automation platform built with Spring Boot, React.js, AWS (S3, RDS-MySQL), and mail services. It supports multiple users and profiles, enabling automated, scheduled, and personalized email delivery via multiple senders to HRs for job applications and referrals, saving time and effort for candidates.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal project development, covering a wide range of technologies from frontend (React, Vue, TypeScript) to backend (Java, Spring Boot, Node.js, Kafka). This breadth of interest suggests adaptability and a continuous learning mindset. While the target role is 'React Frontend Engineer', the candidate's significant backend experience might indicate a broader interest beyond pure frontend, which could be a strength for cross-functional teams or a potential misalignment if the role is strictly frontend-focused. The current role at Vymo as a React Frontend Engineer is a direct fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and development, as seen in 'HeavyProject' and various backend system design projects. The diversity of projects suggests an ability to tackle different technical challenges. However, without specific behavioral assessment data or interview transcripts, a detailed analysis of soft skills and operational fit is limited.