Maximiliana Behnke is a Senior Research Engineer with 11 years’ experience applying large-scale deep learning to machine translation and LLMs, now based at Microsoft in Edinburgh. She holds a PhD from the University of Edinburgh’s Centre for Doctoral Training in Pervasive Parallelism and has a track record of moving research into production through roles at Intel and university research projects. Her work spans NLP, information retrieval and data mining, with hands-on expertise in efficient model pruning and in-domain tuning for neural machine translation. She has taught and supported practical machine learning courses, combining research rigor with clear mentoring and systems-level engineering. Notably, she contributed to industry-shared MT tasks and production NMT tuning using crowdsourced corpora, highlighting a pragmatic focus on deployed AI. Outside pure research she blends systems administration and internship experience, giving her a broad operational perspective on ML systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Centre for Doctoral Training in Pervasive Parallelism, Awarded with no corrections., Doctor of Philosophy - PhD, Centre for Doctoral Training in Pervasive Parallelism, Awarded with no corrections. at The University of Edinburgh
Bachelor of Engineering, Information and Internet Technologies, Bachelor of Engineering, Information and Internet Technologies at Uniwersytet im. Adama Mickiewicza w Poznaniu
The training framework for marian - development repository
Contributions:4 PRs, 111 pushes, 27 branches in 5 years 3 months
phptraining
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Maximiliana Behnke - Senior Research Engineer at Microsoft