Emil Aliyev
Baku
Summary
Dynamic AI/ML Engineer with a proven industry track record. Adept in deep learning and algorithm development, I excel in cross-team collaboration and mentoring, driving impactful solutions in complex projects. Passionate about advancing technology in diverse applications and pushing research boundaries.
Overview
4
4
years of professional experience
Work History
AI/ML Engineer
EiLink R&D
10.2024 - Current
- Developed RAG system for a ChatBot application
- Used Physics-Informed Neural Networks to model physical systems in oil and gas industry
- Supervised Interns
- Worked across different teams
Researcher
Icam - Institut Catholique D'Arts et Métiers
02.2024 - 06.2024
- Analyzed eye-tracking data
- Developed several models to predict the state of hypoxia in a test-flight simulator using eye-tracking
- Communicating research findings through a thesis
Researcher
VIJUMP
10.2022 - 05.2023
- Researched Large Language Models in French
- Investigated ecological language models like iPET, AdaPet
Data Scientist
Kapital Bank
11.2021 - 02.2022
- Wrote SQL scripts to retrieve data
- Created reports using Tableau
- Wrote automation scripts for web-scraping
Instructor of Python and Mathematics
Lumos School of Data
05.2021 - 10.2021
- Applied various teaching aids to minimize learning gaps and instruct and motivate students.
- Tracked student progress, frequently checking in with struggling students and identifying root causes of problems.
- Evaluated and revised lesson plans and course content to achieve student-centered learning.
- Oversaw curriculum development and implementation in alignment with best practices.
Education
Master of Science - AI And Data Science
University of Strasbourg
Strasbourg, Baku05-2024
Bachelor's Degree of Engineering - Electrical, Electronics And Communications Engineering
Azerbaijan State Oil And Industry University
Baku, Azerbaijan05-2022
Skills
- Statistical modeling
- Data science
- Deep learning / Machine Learning
- Algorithm development
- Python
- PyTorch / Tensorflow
- Computer Vision
- Signal Processing
- Large Language Models
- Reinforcement Learning
- Genetic Optimization and Genetic Modelling
- Teaching and Mentoring
Accomplishments
DIAGNODENT Challenge
Winning team of the DIAGNODENT Challenge with Same El Zant and Karim Tout. The challenge was organised by Strasbourg Hospitals and was led by Dr. Agnès Bloch-Zupan with department of rare diseases. The challenge involved an classification problem of Amelogenesis Imperfecta, Dentagenesis Imperfecta as well as the cohort type on panoramic dental and X-ray images. The classification of responsible gene of the disease was based on statistical analysis from the data.
Languages
English
Advanced (C1)
French
Intermediate (B1)
Russian
Bilingual or Proficient (C2)
Azerbaijani
Bilingual or Proficient (C2)
Interests
I am deeply fascinated by the intersection of artificial intelligence and cognitive science, with a particular interest in how memory, perception, and emergent behavior can be modeled in machines Recently, I’ve been working on a project that uses EEG signals to classify cognitive states and explore how neural representations might be decoded or even reconstructed—an early step toward understanding and visualizing internal mental content My broader interests include brain-computer interfaces, symbolic and sub-symbolic reasoning, and the mechanisms that give rise to intelligent behavior
Timeline
AI/ML Engineer
EiLink R&D
10.2024 - Current
Researcher
Icam - Institut Catholique D'Arts et Métiers
02.2024 - 06.2024
Researcher
VIJUMP
10.2022 - 05.2023
Data Scientist
Kapital Bank
11.2021 - 02.2022
Instructor of Python and Mathematics
Lumos School of Data
05.2021 - 10.2021
Master of Science - AI And Data Science
University of Strasbourg
Bachelor's Degree of Engineering - Electrical, Electronics And Communications Engineering
Azerbaijan State Oil And Industry University
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