As a Senior Research Fellow and PhD candidate in Computer Science specializing in cloud computing, forecasting, workload prediction, and deep learning, I offer freelance services that bridge advanced research with practical implementation. I can develop and optimize deep learning models for time-series forecasting, including workload and resource demand prediction in cloud environments. My expertise includes designing predictive analytics pipelines for auto-scaling, cost optimization, and anomaly detection in cloud infrastructure. I also provide consulting on deep learning architectures (LSTMs, Transformers, etc.) tailored to cloud telemetry data, as well as data preprocessing, model evaluation, and deployment support for production-ready forecasting systems. Additionally, I can assist with academic writing, literature reviews, and reproducible research in these domains.