Career Profile
I’m a Deep Learning R&D Engineer at Intel. I graduated from a PhD programme at Centre for Doctoral Training programme in Pervasive Parallelism. My research area is exploring and optimising large-scale deep learning methods applied to machine translation and language models. I am interested in natural language processing, inference optimisation and data mining.
Education
Programme Centre for Doctoral Training in Pervasive Parallelism
Supervisors Kenneth Heafield, Roman Grundkiewicz
Thesis Structural Pruning for Speed of Neural Machine Translation
Passed viva with no corrections.
Programme Centre for Doctoral Training in Pervasive Parallelism
Supervisors Kenneth Heafield, Rico Sennrich
Thesis Improving Neural Machine Translation Training via Weighted Objectives
Graduated with distinction.
Specialization Information and Internet Technologies
Thesis Computer vision and machine learning for automatic extraction of death notices
- Average grade: 4.63/5
- Thesis grade: 5/5 Viva grade: 5/5
- Graduation ranking: 4/103 (top 5%)
Scholarships Rector’s Scholarship for Best Students 2014-2017
Experiences
Full-time position.
Working on efficient machine translation shared tasks and pruning solutions.
Part time teaching vacancies.
- Introductory Applied Machine Learning
- Machine Learning Practical
- Machine Learning Base — providing inplace support for students doing various ML courses.
Assigned to Machine Translation team.
Project TraMOOC – Translation for Massive Open Online Courses
Collaborating Universities HU Berlin, DCU, IURC, Radboud University, Tilburg University
The collaborative project aiming at providing reliable machine translation for online courses.
Branch: Artificial Intelligence, Group Natural Language Processing, Team Dialog Translation
Assigned to Machine Translation sub-team.