I am a Full Stack Developer with experience building scalable, real-time web and mobile applications using React, Next.js, React Native, Node.js, and PostgreSQL. I have worked on production systems including live tracking platforms, enterprise collaboration tools, and CP-DashAI an AI-powered career platform featuring resume parsing, intelligent job matching, AI career assistants, real-time notifications, and gamified user progression. My work involves integrating GraphQL APIs, WebSockets, secure authentication, third-party services such as Stripe and Google Calendar, and optimizing performance through efficient state management and clean architecture. Alongside industry experience, I have also served as a Teaching Assistant for Web Engineering, mentoring students in modern frontend and backend development. I focus on delivering reliable, maintainable solutions with clear communication and strong technical execution.
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This project focused on building a real-time tracking system that allows parents to monitor their child’s location for enhanced safety. I contributed to developing responsive user interfaces and integrating real-time data from backend APIs. The system emphasized accuracy, usability, and real-time updates, strengthening my experience in location-based applications and frontend performance optimization.
Technologies: Next.js, TypeScript, Node.js
AVIATO is a smart drone control and monitoring application designed for autonomous navigation and agricultural analysis. I worked on mobile application development and backend services to support waypoint-based drone navigation and real-time data visualization. The system integrates machine learning for image processing and crop analysis, enabling detection of agricultural patterns from captured drone imagery. The project demonstrates integration between mobile applications, backend services, and AI-based computer vision systems.
Technologies: Android (Java), Django, PostgreSQL, YOLO, MAVSDK
NexusHub is an enterprise workspace platform built to support collaboration, workflow management, and role-based access control. I developed both frontend and backend features, implementing secure authentication, real-time functionality, and scalable APIs. The system includes email notifications, WebSocket-based real-time updates, and performance optimizations using caching. AI-powered content analysis and smart search capabilities were integrated to improve usability and efficiency for enterprise users.
Technologies: Next.js, Node.js, PostgreSQL, Prisma, Redis, WebSockets
CP-DashAI is a cross-platform mobile career application designed to enhance the job search and recruitment process through AI-driven features. I worked across the full stack to build core application functionality, real-time systems, and third-party integrations. The platform includes AI-based resume parsing and scoring, intelligent job matching, cover letter generation, and real-time notifications using WebSockets. I also contributed to implementing secure authentication, feature-gated user progression, payment integration, and interview scheduling with calendar synchronization. The project focuses on performance, scalability, and a seamless mobile user experience.
Technologies: React Native, TypeScript, GraphQL, WebSockets, Redux Toolkit, Stripe, Google APIs
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