Azlaan Ranjha

Contributed to electrical utilities, power generation, protection systems, automation, commissioning, and operational readiness activities in a live petrochemical plant environment. • Built hands-on exposure to approximately 67 MW of utility-scale plant power generation, including Hitachi H25 gas turbines with Brush generators, steam turbine generation, and auxiliary systems. • Interpreted plant single-line diagrams, protection philosophy, and distribution architecture involving GE G60, GE T60, ABB REC670,

Built full-stack and AI-enabled applications through project-based software engineering work, with emphasis on frontend development, backend integration, cloud deployment, and applied AI prototyping. • Created a Flashcard SaaS platform for automated learning-content generation, connecting user-facing workflows with AI-assisted content creation. • Implemented a full-stack pantry management application using React, Next.js, Firebase, Firestore, Firebase Authentication, Material UI, and Vercel. • Deployed chat

Selected for the Singapore International Pre-Graduate Award (SIPGA), a funded research attachment at the Bioinformatics Institute, A*STAR Singapore, focused on biomedical data workflows and computational research support. • Processed biomedical and imaging-related datasets, including medical data handling, DICOM-oriented workflows, and structured preprocessing tasks. • Used Linux-based environments and tools such as ITK-SNAP for biomedical data visualization, inspection, and analysis support. • Prepared str

Completed project-based AI internship work across machine learning, NLP, and computer vision. • Built an NLP-based spam classification model using text preprocessing, feature extraction, and supervised learning methods. • Developed a mask detection system using computer vision techniques for image-based classification. • Worked on additional applied AI tasks, including medical image-related detection and structured-data personality prediction. • Applied Python-based workflows using TensorFlow, NumPy, Pandas

Completed project-based Artificial Intelligence internship work across computer vision, recommendation systems, NLP, and search-based decision algorithms. • Built image classification and face detection projects using Python-based computer vision workflows. • Developed a movie recommendation system using data-driven filtering concepts. • Implemented a rule-based chatbot and explored basic natural language processing workflows. • Designed a Tic-Tac-Toe AI using search-based decision logic and game-tree conce

Completed project-based Machine Learning internship work focused on supervised learning, text classification, fraud detection, and structured-data prediction. • Built classification models for customer churn prediction and credit-card fraud detection using supervised learning workflows. • Developed a movie genre classification system using text preprocessing and natural language processing techniques. • Implemented an SMS spam detection model using TF-IDF feature extraction and classification algorithms. •

Gained practical exposure to industrial automation, process control, and control-system architecture in an engineering environment. • Studied PLC, SCADA, RTU, HMI, DCS, and industrial instrumentation concepts used in process automation. • Observed control-system architectures, signal flow, monitoring logic, and operator-interface workflows in industrial automation environments. • Built foundational understanding of how automation systems support process monitoring, alarms, control actions, and safe plant op

Completed a data analytics virtual experience program focused on structured data analysis, customer insights, and business decision support. • Cleaned, preprocessed, and explored structured datasets using Python and Jupyter Notebook. • Performed exploratory data analysis to identify customer-behavior patterns and business-relevant trends. • Created basic visualizations and summaries to communicate analytical findings clearly. • Developed foundational skills in data handling, business analytics, insight gene

M.Sc. Electrical Engineering student at the University of Stuttgart with a focus on Smart Information Processing, Machine Learning, and Signal Processing. Academic focus includes detection and pattern recognition, communication networks, statistical signal processing, data-driven engineering, and

Electrical Engineering graduate with project experience in signal processing, machine learning, computer vision, embedded systems, control systems, power electronics, and industrial automation. Relevant coursework included Digital Signal Processing, Machine Learning, Computer Vision, Control Syste