Muhammad Maaz Khan

AI Developer & ML Engineer | M.Sc. Artificial Intelligence

As an AI Specialist and M.Sc. student at BTU Cottbus-Senftenberg , I specialize in bridging the gap between theoretical research and scalable business solutions. My focus is on Machine Learning, Computer Vision, and Operations Research.

Core Experience: AI Intern at Mentoga I transformed raw data into functional AI prototypes during a high-impact sprint:

ML Prototyping: Engineered Churn Prediction (Random Forest) and NLP-based Sentiment Analysis tools to drive customer retention and feedback insights.

Optimization: Applied Hyperparameter Optimization (Grid/Random Search) to tune learning rates and architectures, ensuring models outperformed default configurations.

Deployment: Developed Flask-based REST APIs and Plotly dashboards for real-time model demonstrations to stakeholders.

Key Technical Projects

Stress Detection: Optimized CNN architectures using MTCNN for facial alignment and real-time emotion recognition.

Recommendation Engine: Built and integrated collaborative filtering models via REST APIs.

Defect Detection: Developed CNN-based classification tools focusing on model explainability.

Superpowers & Tech Stack

Languages: Python, SQL, R, JavaScript.

AI/ML: TensorFlow, Keras, Scikit-learn, OpenCV, Pandas.

Cloud & DevOps: AWS Certified (EC2, S3), Git, Flask.

"I turn complex data into optimized business advantages. Let's build something intelligent together."

During my time as a Junior Software Developer at Creative Integrated Business Solutions (CIBS) from December 2022 to May 2023, I focused on building scalable, enterprise-grade applications. My role involved balancing modern frontend design with robust backend logic to create data-driven tools.

Below is a detailed breakdown of my contributions, organized by technical focus:

1. Frontend Excellence & System Integration

I was responsible for creating the "face" of our enterprise applications while ensuring they communicated perfectly with the server.

Responsive React.js Components: I developed modular UI components using React.js and JavaScript. This ensured that complex data dashboards remained functional and visually consistent across desktops, tablets, and smartphones.

.NET MVC Backend Sync: I integrated these frontend components with .NET MVC architectures.

2. Data-Driven Features & API Optimization

Enterprise applications rely on accurate, real-time data. I worked to make this data accessible and fast.

Streamlined API Integrations: I optimized how the application fetched information from the backend. By streamlining these APIs, I reduced data latency, making the software feel snappier for the end-user.

Database Interaction: I implemented features that pulled directly from MySQL and PostgreSQL databases.

3. Professional Workflow & Tools

To maintain high standards in a collaborative environment, I utilized industry-standard development practices:

Version Control: I managed all code changes using Git, ensuring team was seamless and organized.

Enterprise Focus: My work was centered on making software that solves business problems, such as automating repetitive data entry or visualizing complex company metrics