Elmir Abdullaiev

AI & Machine Learning Engineer

ML Systems • AI Product Development • Edge AI • Security

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Profile

AI researcher and cybersecurity engineer specializing in machine learning systems for practical applications. Achieved 99.68% accuracy with 260× model compression for edge AI deployment. Experienced in full ML pipelines—from data collection to production deployment on resource-constrained devices. Admitted to NYU MS-CEI (Fall 2026); building toward launching AI products at the intersection of security and accessibility.

Email: elmirabdullaiev@gmail.com

Location: Kyiv, Ukraine

ORCID: 0009-0002-7026-4696

Research & Publications

Real-Time BLE Vulnerability Detection using TinyML on Edge Devices

E. Abdullaiev, V. Sokolov, P. Skladannyi

XXXIII Int. Conf. CAD in Machinery Design (CAD_MD_2025) • Dec 2025, Białystok, Poland | Under Review

GitHub Repo | Paper (Manuscript)

  • Designed TinyML neural network achieving 99.68% test accuracy (97.98% field accuracy) on 23,481 BLE packets from 144 manufacturers
  • Achieved 260× compression → 4.62 KB model with 1,212 parameters
  • 0.9 ms inference on ESP32-S3 for real-time threat detection
  • Tech: TensorFlow Lite Micro, Python, C/C++, Nordic nRF52840, ESP32-S3 | Open-sourced complete pipeline

Mechanisms and Tools for Data Protection on Web Applications

L. Myrutenko, I. Parkhomenko, E. Abdullaiev, S. Denichenko

VII International Conference PCSITS-2024 • April 2024, Kyiv, Ukraine

Paper (Published PDF)

  • Designed automated security assessment framework covering injection attacks, broken authentication, XSS, and access control
  • Implemented detection tools achieving 87% accuracy across 150+ test applications using OWASP ZAP integration

Mathematical Modeling of Surfaces Formed by Rotating a Rhombus Around an Axis in its Plane

E. Abdullaiev

XVII International Conference "Shevchenkivska Vesna – 2019" • April 2019, Kyiv, Ukraine

Paper (Published PDF)

  • Developed mathematical model describing surfaces generated by rhombus rotation
  • Conducted theoretical analysis and computational simulations validating the model
  • Awarded third place in city-wide mathematical modeling competition

Projects

Guidelines on the use of GenAI in the University Context (Machine Learning and Society - TUM): A. Çeter, K. Toro Betancur, B. Igl, I. N. Uribe Lara, A. Ter-Minasyan, T. Thông, W. W. S. Lilian, M. Zubeidat, E. Abdullaiev | July 2024 | Conducted systematic evaluation of ChatGPT usage across 215 academic tasks, analyzing effectiveness (87% success rate) and harm detection (26% false information rate). Performed thematic analysis of 8 use cases; findings contributed to TUM's institutional AI Strategy development.

Skills

Machine Learning
Problem-Solving
Organizational Development
Teamwork
Virtualization
Business Process Optimization
Critical Thinking
PyTorch [ˈpaɪˌtɔːrtʃ] PyTorch, open-source ML framework by Meta for deep learning.
Python [ˈpaɪθən] Python, primary language for ML, data science & automation.
JavaScript [ˈdʒɑːvəˌskrɪpt] JavaScript, a versatile programming language for web development.
C++ [siː plʌs plʌs] C++, a general-purpose programming language with object-oriented features.
TensorFlow [ˈtɛnsərˌfloʊ] TensorFlow, an open-source ML framework by Google.
HTML [ˈeɪtʃtiːˌɛmˈɛl] HTML, the standard markup language for creating web pages.

Languages

English (C1)
Ukrainian (Fluent)
Turkish (Fluent)
Russian (Fluent)
Azerbaijani (Fluent)

Work Experience

2023 - 2024: System Administrator & Infrastructure Engineer, Avalex Solution | Designed and deployed enterprise Document Management System with RBAC serving 50+ users, achieving 99.8% uptime. Implemented automated workflow engine reducing processing time 40%; created data migration pipeline with zero data loss.

2021 - 2024: Chair of Student Council - Partnerships Department, Taras Shevchenko National University of Kyiv | Led organization representing 12,000+ students. Coordinated 15+ leaders organizing 20+ events (500+ attendees). Served as a liaison between students and administration.

2021 - 2022: Customer Consultant, AIESEC | Guided and supported customers during international internships. Collaborated with AIESEC counterparts from various regions to coordinate internship programs and maintain effective communication across different locations. Managed and updated detailed records of ongoing student information, facilitating accurate documentation and seamless follow-up processes.

Education

2025 - 2026: M.Sc. Cybersecurity & Information Protection, Borys Grinchenko Kyiv Metropolitan University | Research Focus: Edge AI, ML on constrained devices, cyber-physical security | Full scholarship (state-funded)

2024 - 2025: Visiting Student Program, Technical University of Munich | Completed 18 graduate courses in ML (Intelligent Systems, Probabilistic ML), Systems (Virtual Machines, Cyber-Physical Systems, Blockchain), and Data Science (Business Process Technologies)

2020 - 2025: B.Sc Cybersecurity, Taras Shevchenko National University of Kyiv | Final Grade: 93 (4.0 GPA) - Dean's List | Thesis: Mechanisms and ways to detect OWASP vulnerabilities in web applications

Certificates

Switching

Certificate 1: Switching, Routing and Wireless Essentials

Enterprise

Certificate 2: Enterprise Networking Security and Automation

Cybersecurity

Certificate 3: Cybersecurity Analysis

Linux

Certificate 4: Linux Essentials

Ethical Hacker

Certificate 5: Ethical Hacker (Cisco)

React

Certificate 6: React Testing Course

Advanced

Certificate 7: Advanced React Course

RangeForce

Certificate 8: RangeForce

RangeForceAdvanced

Certificate 9: RangeForce Advanced

References

Dr. Volodymyr Sokolov
KUBG / Associate Professor

Prof. Orestis Papakyriakopoulos
TUM / Professor of ML and Society

Dr. Ivan Parkhomenko
KNU / Associate Professor

Oleksiy Kokhanovsky
Avalex Solution