CV
Education
PhD, Computer Science
City, University of London (2020 - 2024)
- Thesis: Effect of High-resolution training in optical neural networks
- My research is focused on the optimisation of Convolutional Neural Networks (CNNs) and the use of Vision Transformers in the development of Optical AI accelerators.
- A pivotal part of this research involves leveraging the high-resolution capabilities of optics to enhance feature maps and kernels while minimising the number of channels in CNNs.
- A significant milestone in this research was the development and implementation of a novel architecture, the ‘FatNet Transformation’, which integrates CNNs and Vision Transformers in a unique way.
MSc, Artificial Intelligence (Merit)
University of St Andrews (2018 - 2019)
- Relevant Modules: Object-Oriented Modelling, Design Programming(16.9/20); Arti cial Intelligence Practice(16.4/20); Natural Language Processing(12/20); Software Engineering Practice(16.6/20); Machine Learning(13.2/20)…
- Thesis: Simplex Optimisation for Aerial Image Stitching (16.5/20)
- The research aimed to address the issue of data loss in image stitching techniques, like Scale-Invariant Feature Transform (SIFT), with the goal of enhancing the accuracy and efficiency of aerial image stitching.
- Affine transformations were integrated with simplex optimisation methods to propose an improved technique for determining the optimal homography for image alignment.
- Overall Grade: 14.4/20
BEng, Computer Systems Engineering (First Class Honours)
City, University of London (2015 - 2018)
- Relevant Modules: Programming and Design (77), Engineering Mathematics (93), Engineering Mathematics2(80.4), Object-Oriented Programming (81.4), Computer Systems and Networks (68.2), Java Programming (88.8)…
- Thesis: Estimating Hyperparameters of LSTM in Speech Recognition (72.5)
- Overall Grade: 74.14 (1st)
Experience
Graduate Teaching Assistant @ City University (2021 - Present)
- Guided students in computer labs and electronics labs
- Taught computer vision and python programming modules
Deep Learning Engineer @ Optalysys (2019 - 2020)
- Applied optics on CNN models for optical AI acceleration
- Researched use cases for optical co-processor, like video analysis
Intern, Python Developer @ Formation MSK Ltd (2019)
- Worked on Envision-Engine project analyzing KPIs and sales
- Focused on data gathering, analysis, decision trees
Technical Skills
- Programming Languages: Python (Advanced), Java (Advanced), JavaScript (Intermediate), Swift (Advanced), C/C++(Intermediate), C# (Intermediate), Delphi (Advanced)
- ML Libraries: PyTorch, TensorFlow, Keras, scikit-learn
- Engineering tools: Multisim, LabVIEW, Matlab, Raspberry Pi, Arduino
- CMS: WordPress, Joomla, DLE
Languages
English (fluent), Russian (native), Azerbaijani (native), Turkish (fluent)
Achievements
##First Place in Hackathon hosted by the data science team of 10 Downing Street, Evidence House (2023) We have developed a tool that can potentially replace the modern ministerial red boxes in the government, to make the work of private secretaries and ministers more ecient. We have presented our work to Minister Alex Burghart.
##Scholarship of State Program on Education of Azerbaijani Youth Abroad (2014) I have been awarded the scholarship, which covered my full tuition fee, living cost and visa expenses. I have passed an interview and was chosen from several hundred students in Azerbaijan.