Yash Trivedi
Building intelligent, scalable web applications. Passionate about leveraging cloud expertise and modern technologies to solve real-world problems.
About Me
I am an MCA student with a strong background as a Cloud Support Engineer Intern, deeply passionate about Full Stack Development and Artificial Intelligence.
Over the years, I've built several real-world projects ranging from an AI-powered scam detection tool to intelligent news aggregation platforms and full-stack management systems, heavily integrating LLM APIs along the way.
I specialize in cloud deployment, backend API design, and crafting secure, highly scalable applications from the ground up, with a primary focus on solutions that make a tangible difference.
Core Technologies
Work Experience
Cloud Support Engineer Intern
Bit & Binary | 01/2024 - 04/2024
Configured and managed EC2 instance, optimizing performance and ensuring security compliance. Gained hands-on experience utilizing S3 for hosting static web content with high availability. Assisted in the management of AWS RDS and DynamoDB services, contributing to database optimization and maintenance. Monitored and analyzed AWS usage with Cost Explorer, recommending strategies to optimize spending and reduce waste.
Featured Projects
Cyber Kavach
AI-Powered Scam Detection Tool
Cyber Kavach is a proactive security solution designed to protect users from online scams and phishing attempts. By leveraging AI algorithms, the tool analyzes suspicious links and communication patterns to provide real-time alerts and ensure a safer digital experience.
Barber CRM
Full Stack Business Management System
Barber CRM is a full stack web-based management system developed to simplify salon and barber shop
operations.
The application provides features like customer management, appointment scheduling, service
tracking, and admin dashboard.
The project is built using modern web technologies with secure authentication, backend API
integration, and cloud database support.
It demonstrates real-world full stack development skills including frontend UI, backend logic, and
database design.
Gathered
AI-Powered Intelligent News Aggregator System
Gathered is a production-ready AI news aggregator that automatically collects real-time updates from
multiple global sources using RSS feeds and scheduled backend crawling.
The system analyzes articles and generates AI-powered summaries using Artificial Intelligence,
providing users with fast and unbiased news insights.
The platform is built with a modern full stack architecture including a React + TypeScript frontend,
Node.js + Express backend, and PostgreSQL database hosted on Neon.
Advanced features such as server-side caching, API security, rate limiting, and AI integration make
the system scalable and efficient.
Education & Certifications
Academic Degrees
Master of Computer Applications
Silver Oak University
Bachelor of Computer Applications
Silver Oak University
Certifications
AWS Knowledge: Architecting
Amazon Training and Certification
AWS Knowledge: Cloud Essentials
Amazon Training and Certification
AWS Knowledge: Networking Core
Amazon Training and Certification