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Oussama I. - MongoDB Developer, React Native, nextjs

My name is Oussama I. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: JavaScript, TypeScript, Next.js, React, node.js, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Cloud-Based Call Center with Real-Time Analytics, Real-Time Analytics Dashboard with Multi-Model AI Chatbot, One platform for Construction Developers and Real estate companies, Local Watch Party Hosting Platform. I am based in Sfax, Tunisia. I've successfully completed 4 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • MongoDB Developer

    3 years

  • JavaScript

    1 Year

  • TypeScript

    1 Year

  • Next.js

    1 Year

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Cloud-Based Call Center with Real-Time Analytics

Collaborated on a cloud-based call center project utilizing Amazon Connect for customer interactions. Focused on front-end development using Next.js and TypeScript, integrating AWS Amplify and Cognito for secure user authentication and session management. Created an admin dashboard with real-time analytics to provide managers with insights into call center performance. The solution delivers a responsive, user-friendly interface tailored for high-volume customer service.

Real-Time Analytics Dashboard with Multi-Model AI Chatbot

Developed a dynamic app that displays real-time analytics and data visualization through various charts. Utilized Cube.js and Ably to handle data streaming and real-time updates, ensuring up-to-the-minute insights. Built with Next.js and TypeScript for a smooth and responsive user experience. Integrated a versatile AI-powered chatbot that allows users to toggle between models, leveraging Bedrock and OpenAI for flexible and accurate responses. This project provides a powerful tool for data-driven decision-making and interactive AI assistance.

One platform for Construction Developers and Real estate companies

This project connects organizations and individuals in the real estate industry with the resources they need to optimize the procurement process

Local Watch Party Hosting Platform

Collaborated on the development of a platform that allows users to host or attend local watch parties, fostering community engagement. Contributed to building a responsive, dynamic interface with Next.js and TypeScript. Integrated Firebase Auth for secure user authentication, Firestore for real-time event data, and Stripe for streamlined payment processing, enabling hosts to monetize their events. This platform provides an intuitive user experience for event creation and discovery

Education

  • Epi polytechnic sousse

    Bachelor of Computer Science (BCompSc) in Computer science

    2020-01-01-2023-01-01

Languages

  • Arabic
  • English
  • French

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