Summary
Ashay Singh is an AI/ML practitioner and data scientist with eight years of hands-on experience bridging research and production in Norway’s tech and research ecosystem. Currently an Analyst Digital at Equinor and a recent master’s student at Simula Research Laboratory, he has delivered production-grade forecasting and distributed data pipelines, while also investigating privacy properties of synthetic data from generative models. His background spans medical imaging segmentation with UNet, LLM alignment experiments, quantum-inspired scheduling research, and pragmatic ML engineering that improved model accuracy and operational metrics across multiple internships. Comfortable with tools from PyTorch and Spark to MLflow and Weights & Biases, he combines rigorous experimental tracking with a knack for turning research insights into measurable product impact. An uncommon thread through his work is applying cutting-edge research (privacy evaluation, LLM alignment) directly toward deployable systems in industry settings.
9 years of coding experience
5 years of employment as a software developer
Master's degree Applied Computer Science, Master's degree Applied Computer Science at Østfold University College (HiØ)
Bachelor's of Technology(Hons.) Computer Science Engineering, Bachelor's of Technology(Hons.) Computer Science Engineering at KRISHNA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GHAZIABAD
English, Norwegian