ML Engineer
Qureight, April 2023 - April 2023
Currently working as a Machine Learning Engineer and Scientist at Qureight.
Experience
Research Assistant
Imperial College London, October 2018 - March 2023
During my PhD I worked as a Research Assistant at Imperial College London. In addition to the research facet I was the project lead for the CT lesion analysis pipeline for the EU FP7 project CENTER-TBI.
ML Engineer/Consultant
Triradiate Industries A.I.R., January 2020 - December 2021
Worked remotely as freelance ML Engineer/Consultant for Triradiate Industries A.I.R. developing deep learning segmentation pipeline for medical imaging applications.
Research Intern
Microsoft Research Cambridge, October 2020 - December 2020
Undertook a Research Internship at Microsoft Research Cambridge in the InnerEye project focusing on using machine learning for outlier detection and label noise removal.
Researcher
INESC-ID, March 2017 - October 2018
Worked as a Researcher at INESC-ID focusing on using machine learning to predict the functional outcome of stroke patients, using both classical ML algorithms for tabular data and deep learning computer vision algorithms for brain MRI image.
Research Intern
Celfinet, April 2016 - December 2016
Worked as a Research Intern at Celfinet as part of my Master’s Thesis project. During the internship, I collaborated closely with the R&D team researching automatic load balancing for LTE networks and network traffic forecasting using time series analysis.