Ajirioghene Oguh

At Sand Technologies, I build production machine learning and digital twin systems for telecommunications network planning and performance analysis.

I designed a site configuration simulation engine that evaluates predefined network changes in under two minutes, and improved digital twin delivery workflows by 30%. I also developed KPI prediction methods for utilisation, throughput, PRB allocation, and SINR.

My work includes spatial SINR prediction, scalable geospatial data ingestion, physics-based and proxy modelling, and production integration with software engineers. I have engineered more than 100 predictive features for multi-band payload and utilisation models with R² scores up to 0.88.

I also build AI-enabled products, including an inventory SaaS platform, an autonomous data science agent, and agentic applications for research and code conversion. I enjoy sharing optimisation knowledge and mentoring engineers through code reviews and pairing.