Tanish Sharma — Operations Associate

I am an MSc Advanced Computer Science student at The University of Manchester specialising in Machine Learning systems, scalable AI architectures, and experimentation-driven model development. My work focuses on building end-to-end ML pipelines — from data ingestion and structured feature engineering to Bayesian hyperparameter optimisation, model evaluation, and production deployment. I treat ML systems as modular, reproducible experimentation environments rather than isolated notebooks. Recently, I architected and deployed an end-to-end MLOps system for football match prediction, integrating cross-validation strategies, experiment tracking, CI/CD workflows, and AWS-based deployment. I continuously refine the system by iterating on feature sets, model architectures, and evaluation frameworks. As the lead author of an IEEE conference paper, I benchmarked ensemble learning models across six seasons of European league data, applying rigorous preprocessing, structured experimentation, and comparative evaluation metrics. My interests lie at the intersection of machine learning, data engineering, and scalable deployment — where models are not only built, but engineered for reliability and impact.

Stackforce AI infers this person is a Machine Learning and Data Science specialist with a focus on MLOps in the tech industry.

Location: Manchester, United Kingdom

Experience: 0 mo