Annika Lindh
Open Access Analyst (Irish Research Electronic Library - IReL)
Dublin, Dublin 1, Ireland
Summary
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Senior🎓
Top SchoolAnnika Lindh is an AI and data analyst with nine years of experience bridging software development, academic research, and open access advocacy. Currently a funded PhD student at ADAPT Centre and an Open Access Analyst with IReL in Dublin, she focuses on multi-modal deep learning—integrating computer vision and natural language generation—to deliver models that improve real user outcomes rather than just benchmark numbers. Her background ranges from game programming and embedded software to leading Java education and lecturing, giving her a rare combination of production coding, teaching, and research skills. She holds an MSc with distinction in Data Analytics and top scores in foundational ML and neural network courses, reflecting a strong theoretical grounding paired with practical system-building. Known for asking “what does this actually achieve for end-users,” she brings a user-centered mindset to technically ambitious ML projects.
9 years of coding experience
9 years of employment as a software developer
Neural Networks for Machine Learning (University of Toronto course by Geoffrey Hinton on Coursera), Grade Achieved: 94.9%, Neural Networks for Machine Learning (University of Toronto course by Geoffrey Hinton on Coursera), Grade Achieved: 94.9% at CourseraDoctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Technological University DublinMaster's Degree, Programming (C/C++, Java), Game Design, Video Production, Internet Communication, Web Production, Master's Degree, Programming (C/C++, Java), Game Design, Video Production, Internet Communication, Web Production at Blekinge Institute of TechnologyMaster’s Degree, MSc in Computing (Data Analytics), First Class Honours with Distinction, Master’s Degree, MSc in Computing (Data Analytics), First Class Honours with Distinction at Dublin Institute of TechnologyProject Management, Project Management at Södra Stockholms Folkhögskola
Github Skills (19)
python9
machine-learning9
deep-learning9
visual-recognition8
tensorflow8
segmentation8
data-science7
neural-network7
bottom-up7
face-recognition7
bottom7
face-detection7
object-detection6
computer-vision6
reimplementation5
Programming languages (3)
Github contributions (5)
AnnikaLindh/Controllable_Region_Pointer_Advancement
Oct 2020 - Oct 2021
Contributions:7 commits, 6 pushes, 2 comments in 11 months
AnnikaLindh/DBNTensorFlow
Aug 2016 - Apr 2017
Contributions:6 commits, 4 pushes, 1 branch in 7 months
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