Portfolio of

Adnan Abir

Software QA Engineer& Infotronic Systems
Engineering Student

I build, test & explore what’s next

Explore my work Say hello
Scroll to wander ↓

01 / Profile

About Me

Adnan Abir smiling outdoorsAdnan Abir / Portrait

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

01

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.
02

April 2026 — September 2026

Project Manager, AI/XR Product Development

Rhine-Waal University · Usability Lab
  • Led a multidisciplinary project developing an AI-powered, VR-based German learning system, coordinating work across AI, XR, UI/UX, sensing, human factors, and evaluation teams.
  • Managed project planning, cross-team dependencies, requirements alignment, progress tracking, communication, and final delivery across multiple specialized workstreams.
  • Translated user research and human-factor findings into actionable product requirements while helping technical teams align their individual components into one integrated system.
  • Coordinated project-wide documentation, deliverables, issue resolution, and final submissions, helping drive the project from early concept to a functioning executable prototype.

03 / Portfolio

Featured Projects

AI Meeting Assistant workspace with a meeting transcript and extracted action items organized by task, assignee, deadline, priority and review status01

Featured build / 01

AI Meeting Assistant - Secure Local AI Workspace

An AI-powered meeting productivity application that transforms raw transcripts into structured action items by identifying tasks, assignees, deadlines, priorities, and uncertain information for review. Built around locally running LLMs through Ollama or LM Studio, it keeps meeting data on-device while providing editable task workflows, model selection, structured AI-response validation, and multi-format exports. The application combines a modern React + TypeScript architecture with automated testing across core AI, data, and interface workflows.

  • React
  • TypeScript
  • Local LLM
  • AI Integration
  • Automated Testing
View the source
ParkVision parking occupancy view with green outlines for free spaces and red outlines for occupied spaces02

Featured build / 02

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 charts03

Featured build / 03

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

More from the lab

Experiments & ongoing builds

04

SDET Workspace

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

  • Java
  • Selenium
  • Testing
In progress
05

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
06

AI Journal Assistant

A personal AI companion that organizes daily reflections, tracks recurring patterns, and turns everyday thoughts into useful insights.

  • AI/LLM
  • Markdown
  • Automation
  • Analytics
In progress

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

01

QA & Product Quality

  • Test Execution
  • Test Case Design
  • Release Readiness
  • Defect Validation
  • Feature Evaluation
  • Cross-Team Collaboration
02

Programming & Development

  • Python
  • Java
  • JavaScript
  • HTML
  • CSS
  • SQL
03

Frameworks & Libraries

  • OpenCV
  • Streamlit
  • Pandas
  • Matplotlib
  • Tkinter
  • React
  • Vite
04

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.

Your details are used only to respond to your message.