Portfolio of

Adnan Abir

Software QA Engineer& Infotronic Systems
Engineering Student

I build, test & explore what’s next

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01 / Profile

About Me

Adnan Abir smiling outdoors — I enjoy finding what breaks, building what helps, and exploring what comes next.
Adnan Abir

I’m an Infotronics Engineering student at Hochschule Rhein-Waal and currently work as a Software QA Working Student at BlackBerry.

In my professional role, I contribute to software quality by testing features, identifying issues, working with test cases, and supporting reliable development processes. This experience has strengthened my attention to detail and taught me that great software is not only about how it works—but also how consistently and securely it performs.

Beyond QA, I’m deeply interested in artificial intelligence, automation, and software development. I enjoy experimenting with AI-assisted workflows, building practical projects, and continuously expanding my technical skills.

Outside technology, travelling is an important part of who I am. Discovering new places, people, and perspectives keeps me curious—and that same curiosity shapes the way I learn, solve problems, and approach my work.

NOWSoftware QA
@ BlackBerry

STUDYINGInfotronic
Systems Engineering

02 / Career

Professional Experience

March 2025 — Present

Software QA, Werkstudent

BlackBerry

Execute structured test runs and support release-readiness activities to ensure stable, reliable, and high-quality software.
Collaborate closely with developers to reproduce defects, assess risks, validate fixes, and strengthen overall product quality.
Contribute to R&D initiatives by evaluating new features, identifying improvement opportunities, and providing quality-focused feedback throughout development.
Create and maintain test cases, test runs, QA documentation, and internal wiki content for consistent and traceable testing.

Since Curiosity Kicked In — Ongoing

Independent Projects & Continuous Learning

Personal Projects

Turned curiosity into personal projects, prototypes, scripts, and experiments—usually starting with, “What happens if I try this?”
Explored software, AI, automation, and product ideas by building them, breaking them, and rebuilding them better.
Developed a natural QA mindset long before the job title: questioning assumptions, finding edge cases, and spotting opportunities for improvement.
Collected practical skills, failed experiments, and countless debugging lessons—the unofficial experience that prepared me for the official role.

03 / Portfolio

Featured Projects

ParkVision parking occupancy view with green outlines for free spaces and red outlines for occupied spaces

Featured build / 01

ParkVision - Real Time Parking Occupancy Monitor

A computer-vision parking system built with OpenCV and Streamlit to detect free and occupied parking spaces from live or recorded video. It processes each frame using grayscale conversion, Gaussian blur, adaptive thresholding, and pixel-density analysis, then presents the results through an interactive real-time dashboard. The project also simulates vehicle arrivals and departures to visualize occupancy patterns over time.

Python
OpenCV
Streamlit
Computer Vision
Simulation

View the source

Expense Pilot dashboard showing balances, a transaction list and expense charts

Featured build / 02

Expense Pilot - Personal Finance Dashboard

A desktop finance management application built with Python that helps users track income, expenses, and savings through an intuitive graphical interface. It automatically calculates balances and monthly summaries, organizes transactions by category, and transforms financial data into clear line graphs and pie charts. The application also supports savings transfers and stores data locally in CSV format for privacy and continuity.

Python
Tkinter
Pandas
Matplotlib
Data Visualization

View the source

Experiments & ongoing builds

SDET Workspace

Software Development Engineer in Test workspace with automation frameworks and testing utilities.

Java
Selenium
Testing

In progress

AI Swing Trading Desk

A serverless AI-assisted swing trading system that acts as a quantitative analyst and risk manager. Scans for high-probability setups, calculates risk parameters, and maintains a rigorous performance ledger — all through natural language commands.

Python
AI/LLM
Markdown
Data Analysis

In progress

Portfolio Website

A modern, responsive portfolio website built with React and Vite. Features a content-data separation architecture where all content lives in JSON files, making it fully AI-manageable through natural language commands.

React
Vite
CSS
GitHub Pages

04 / Academic background

Education & Training

HSRW

Currently enrolled

Infotronic Systems Engineering

Bachelor of Science (B.Sc.)

Rhine-Waal University of Applied Sciences

Kamp-Lintfort, Germany

Aug 2023 — Present

An interdisciplinary engineering programme that connects computer science, software development, data processing, electrical engineering, signal processing, and intelligent systems. Through a strong mix of theory, practical labs, and project-based work, the programme builds a broad technical foundation from embedded hardware and networks to modern software systems, automation, data analysis, and AI-driven applications. It develops the ability to understand complete systems, work across hardware and software layers, and approach technical challenges with an engineering, research, and product-quality mindset.

Computer Science
Object-Oriented Programming
Software Engineering
Computer Architecture
Computer Networks
Embedded Systems
Data Science
Electrical Engineering
Signals & Systems
Distributed Systems
Scientific Programming
Interdisciplinary Projects

Explore the programme

05 / Capabilities

Technical Skills

QA & Product Quality

Test Execution
Test Case Design
Release Readiness
Defect Validation
Feature Evaluation
Cross-Team Collaboration

Programming & Development

Python
Java
JavaScript
HTML
CSS
SQL

Frameworks & Libraries

OpenCV
Streamlit
Pandas
Matplotlib
Tkinter
React
Vite

Tools, AI & Automation

Git
GitHub
VS Code
Linux
Docker
LLM Integration
Prompt Engineering
Data Analysis
Computer Vision

06 / Contact

Contact Me

I’m always open to conversations around quality engineering, AI, software, and ambitious ideas. Whether you’d like to collaborate, discuss a project, exchange knowledge, or simply connect, my inbox is always open.