I work across data science, applied ML research, and scalable production systems. My experience spans time-series forecasting, causal inference, LLM/RAG pipelines, computer vision, and network optimisation. I have published research at AMLC 2026 (cost-sensitive forecast evaluation) and in Continental Shelf Research (ocean dynamics modelling). Previously worked as an ML Engineer at DTDC Express and an AI Engineer at 4G Identity Solutions, building end-to-end production systems across diverse domains. I can help with career guidance, CV/resume reviews, profile building, interview preparation, ML project design, research direction, and paper writing. Open to mentoring anyone curious about data science and applied research.