Wadood Ur Rehman Ranjha

PROFESSIONAL PROFILE Computer Science undergraduate with Machine Learning experience at Fortis Capital, ONT Lab, Chalmers University and CETQAP, along with a project portfolio featuring multimodal stock price forecasting, land classification based GDP prediction, NLP powered financial sentiment analysis, full stack application development and more. EDUCATION BS Computer Science SEECS , Islamabad , 3.45 (2026) INTERNSHIP EXPERIENCE ONT Lab SEECS 01-Jun-2025 - 12-Sep-2025 Developing Deep Learning models for automated anomaly detection, identification, and localization in Optical Fiber networks, later used in a research paper. Implemented unsupervised pretraining (autoencoder) to handle label scarcity, added class-imbalance handling (focal loss, weighted sampling). Configured data pipelines with synthetic data augmentation CETQAP 01-Jun-2024 - 15-Aug-2024 Implemented, verified, and contributed to multiple research paper results and conclusions; developed a quantum kernel interface for SVM classification. Chalmers University, Optical Networks Department 15-Sep-2025 - 15-Jan-2026 Co-authored two submitted papers on the application of machine learning in Optical Fiber Networks, publish decision pending. Developed ML models for extensive novel Optical Fiber datasets, achieving accuracy over 95% for multiple projects. FINAL YEAR PROJECT Fortis Aegis Fortis Aegis is an AI-powered portfolio advisory platform that uses advanced Machine Learning algorithms to provide multimodal data based advice for investment decisions in stocks, options, and cryptocurrency, along with quantitative analysis of user portfolios. TECHNICAL EXPERTISE Machine Learning & AI Extensive Machine Learning experience developing vision and temporal models with PyTorch and Tensorflow. Completed Deep Learning Specialization certificate. Full Stack Development Experienced in Full Stack Development, including projects in Python, Rust, and Node.JS. Data Engineering

Computer Science undergraduate with Machine Learning experience at Fortis Capital, ONT Lab, Chalmers University and CETQAP, along with a project portfolio featuring multimodal stock price forecasting, land classification based GDP prediction, NLP powered financial sentiment analysis, full stack application development and more.