Available for work

Hi, Tarık here!

I enjoy software development, learning new things, and exploring new technologies.

Featured Projects

Twack Twack

A full-stack web application to track strength training progress and body measurements with nested exercises and sets.

React TypeScript Django PostgreSQL Tailwind CSS Docker

Modern Dev Portfolio

A high-performance personal portfolio built with Astro 6 and Tailwind CSS 4, featuring a dynamic multi-theme system (including a canvas-based Space theme) and content-driven architecture.

Astro TypeScript Tailwind CSS Vite Canvas API

GlucoMetric

A lightweight API to transform raw glucose data into actionable metabolic metrics and simplified AGP (Ambulatory Glucose Profile) reports.

Python FastAPI SQLite SQLAlchemy Uvicorn

Work Experience

Junior Developer

2025 — 2025
aanmelder.nl
  • Implemented backend services in Python using SQLAlchemy ORM, developed RESTful APIs, and improved frontend services using Javascript and Vue.js.
  • Leveraged PostgreSQL for data modeling and warehousing, ensuring accurate handling of participant, ticketing, and session data.
  • Reduced the Customer Support and Sales communication burden for almost 80% via the client data entry tool developed in Python.
  • Deployed services with Docker, Apache, and Ansible; integrated AWS S3, Lambda, and CloudWatch for automation and monitoring.
  • Used Bash and Python scripting with GitHub Actions to automate data transformations and integration workflows.

Teaching Assistant

2022 — 2022
VU Amsterdam
  • Organised practical sessions for 20 students to support theoretical lessons.
  • Tutored in Computer Programming (C++) and Computational Thinking for Coders (data structures and algorithms).

Software Tester (Freelance)

2018 — 2020
Applause
  • Participated in functional, usability, and exploratory testing cycles, helping companies identify and document bugs.
  • Delivered bug reports and collaborated with development teams within CI/CD environments.

Education

BSc Computer Science, Minor Data Science

2021 — 2024
Vrije Universiteit Amsterdam
  • GPA: 8.1/10
  • Thesis: Researched optimized training algorithms for deep neural networks using MNIST and CIFAR-10 datasets (models: LeNet, MiniAlexNet).
  • Completed core courses in Data Structures, Algorithms, and Machine Learning.