My Portfolio

Second Year Computer Science Student

Next.js • React • Node.js • MySQL

Python • Machine Learning

Work Experience

Professional journey and contributions in the tech industry

Backend Engineer Intern

Snoonu
Doha, Qatar
Jun. 2025 - Aug. 2025

At Snoonu, recently acquired by Jahez Group, I developed a production-ready microservice for the driver support bot:

  • Scaled to 1,000+ concurrent sessions with 99.9% uptime
  • Automated ~80% of driver support conversations, freeing agents to focus on high-value escalations
  • Designed a scalable MongoDB schema with config-driven architecture supporting 15+ support scenarios
  • Applied design patterns (orchestrator, repository, dependency injection) to deliver a maintainable, testable backend
  • Integrated with Salesforce and internal logistics APIs for seamless escalation handling
Technology Stack
Backend
PythonFastAPIMongoDBDocker
Architecture
MicroservicesConfig-driven designState managementDesign Patterns

Software Engineer Intern

RapidRecruit

Remote, Groningen
June 2024 - August 2024

Building a full-stack web application for streamlining recruitment processes and talent acquisition workflows.

Technology Stack
Frontend
Next.js 14React 18TypeScriptTailwind CSS
Backend
Node.jsMySQLPrisma ORM

Technical Skills

Backend Development

Frontend Development

System Architecture

Cloud Solutions

Core Technologies

JavaScript/TypeScript
React
Next.js
Node.js
Python
Java
MySQL
Machine Learning

Featured Work

Highlights from my research and project portfolio

Latest Research

Academic Paper

Optimizing Neural Networks with Autograd for Handwritten Digit Recognition

Neural NetworksComputer VisionMachine Learning

Addressing the challenge of handwritten digit recognition, this investigation describes the end-to-end development of a neural network using a custom AutoGrad engine. Starting with a simple two-layer network and progressing through architectural enhancements and hyperparameter tuning, the study achieves a high validation accuracy on the MNIST dataset.

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Featured Project

Technical Project

SongTracker

SwiftiOS DevelopmentAPI Design

A personal-use iOS application built in Swift, utilizing advanced iOS system-level frameworks to privately track and display songs I listen to on my personal website. This project involved creating a seamless integration with iOS music data and designing a custom API.

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