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Fiverr Pro
Nederlands
$
USD
Mehek
@mehek_fatima
Turning Ideas into Production Ready Applications
India
Urdu, Hindi, Engels
Over mij
I’m Mehek, a MERN stack developer focused on building fast, scalable, and intelligent web applications that make an impact. I combine strong backend logic with sleek, responsive interfaces and seamless AI integration. Expect clear communication, quick delivery, and results that elevate your business. Let’s build something that stands out
Skills
Mehek
offline •
Bekijk mijn diensten
Weebly
I will crafting exceptional web experiences
Full stack webapplicaties
I will develop full stack website, web app using react, nodejs express js mongodb
Portfolio
Werkervaring
Associate software engineer
Accenture • Fulltime
Nov 2024 - Apr 2026 • 1 yr 5 mos
Engineered and scaled RESTful APIs using Node.js and Express, reducing latency by 30% under concurrent load. Architected modular backend systems with reusable middleware and service layers, improving maintainability and scalability. Optimized data access using MongoDB (indexes, aggregations) and MSSQL (joins, stored procedures), reducing query time by 40%. Increased system throughput by 25–35% through asynchronous processing and efficient request handling. Designed and implemented secure authentication systems including JWT, refresh tokens, RBAC, session management (Redis & in-memory), and token blacklisting. Developed an AI-powered backend system using Azure AI Foundry (CLU) and LLM APIs via Azure AI Studio for intelligent query handling and dynamic response generation. Built robust request handling pipelines with validation, centralized error handling, and standardized API responses across services. Developed and delivered scalable applications including: A competitive coding platform with real-time submissions and leaderboards A production-ready authentication middleware (Express AuthKit) An AI-based interview preparation platform with dynamic question generation and feedback Built and optimized frontend components using React and Redux, reducing redundant API calls by 35%. Improved frontend performance using memoization and lazy loading, reducing page load time by 18%.
