Eldagiz Zamanli
Baku
Summary
Experienced software engineer and researcher in fintech and banking, specializing in automation, AI-driven solutions, and cybersecurity. Expert in workflow optimization, digital transformation, and encryption algorithms (Ghostduck, Tykhe).
Former lecturer at Azerbaijan Technical University, leading research and mentoring 100+ students. Developed AI-powered passport recognition, facial authentication, and gesture control systems.
Passionate about bridging the gap between business and technology, ensuring seamless collaboration between development teams and stakeholders to deliver high-impact solutions.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Supervisor
Azerbaijan Technical University
12.2024 - Current
- Mentored and guided 5 students in research on "Cybersecurity Risks and Ensuring Business Continuity in Azerbaijan's Digitalizing Economy."
- Focused on identifying 5 main vulnerabilities, developing mitigation strategies, and supporting the nation's transition to a secure, resilient digital infrastructure.
Process Automation Engineer
UpSystems
03.2025 - Current
- Enhanced system performance by troubleshooting, debugging, and modifying existing RPA bots.
- Collaborated with IT teams to ensure seamless integration of RPA solutions within the existing technology infrastructure.
- Created PDD(Process Description Document) and SDD(Solution Description Document) for building RPA solutions
Developer
Bank Respublika
10.2020 - 02.2025
- Developed a passport detection system, achieving 95% accuracy by training the YOLOv4 model. Devised a Flask API, reducing processing time from 10 seconds to just 0.3 seconds, enhancing user experience and system efficiency.
- Architected a robust entry management system featuring FaceNet-powered facial recognition technology integrated with Streamlit frontend; empowered users to swiftly add cameras while reducing average entry times by four seconds per individual.
- Applied a gesture recognition system using the Google MediaPipe framework, achieving 90% accuracy gesture detection with instantly, conceived to serve as a foundation for future projects requiring advanced human-computer interaction capabilities.
- Engineered a noise control system for open offices using Raspberry Pi and Python, achieving a 2 dB margin of error. Enabled remote noise management via personal computers to improve productivity and comfort.
- Researched OpenBanking and fintech technologies and some recommendations were made about these technologies.
Lecturer
Azerbaijan Technical University
09.2022 - 07.2023
- Delivered lectures on 'Machine Learning Models Development with Python,' covering model building, implementation techniques, and real-world applications for over 100 students.
- Created and presented comprehensive lectures on 'Image Processing Techniques' covering fundamental concepts, advanced methodologies, and real-world applications, aimed at enhancing students' understanding and practical skills in the field, with over 100 students enrolled.
Education
Master of Science - Information Security
Azerbaijan Technical University
Baku, Azerbaijan05-2022
Bachelor of Science - Computer Science
Baku State University
Baku, Azerbaijan05-2020
Skills
Python
Java
Relational(SQL) and Non-relational Databases(No-SQL)
API Development and Testing
Symmetrical and Asymmetrical Encryption
Raspberry PI and Arduino
SDLC, Agile(Scrum) and Waterfall
Testing and Debugging
Machine Learning and Deep Learning
Cloud Services
BPMN and UML
User Story and Acceptance Criteria Writing
RPA Development
Automation Anywhere
Certification
- Yukselish competition, fourth season semifinals, 2024
- Automation Anywhere RPA Developer, 2025
- Professional Scrum Product Owner 1 (PSPO 1), 2022
- Certified Associate Python Programmer (PCAP), 2022
Languages
Azerbaijani
Native language
Turkish
Advanced
C1
English
Intermediate
B1
Projects
Executed Machine Learning in Pandemic Situations
- Built decision-making processes during pandemics through the application of machine learning models.
- Leveraged computer vision technologies to compute critical metrics and ensure compliance with established rules.
Electronic Signature System for University
- Developed and implemented an electronic signature system using the RSA encryption algorithm with 2048 and 4096 bit keys generated with Little Fermat theorem.
User-Generated Authentication Mechanism
- Designed a secure authentication mechanism with SHA512 hashing algorithm enabling users to verify identity by generating authentication tokens.
Ghostduck Symmetrical Encryption Algorithm
- Innovated a high-security encryption algorithm (Ghostduck) capable of producing varied outputs for fixed information-key sets with generate 1024 bit random padding mechanism.
- Incorporated dynamically generated S-boxes(16 bit), a mapping function(128x128) for block position changes, and a specialized mechanism to enhance encryption security.
Tykhe Algorithm
- Implemented lottery verification mechanism to ensure the transparency and randomness of results. This mechanism use 16 iteration and SHA256 hashing mechanism.
- Proposed the algorithm as a substitute for the Proof-of-Work mechanism in Blockchain technology to improve trust and energy cost(6400 kilowatt-hours) and efficiency in lottery systems.
Timeline
Process Automation Engineer
UpSystems
03.2025 - Current
Supervisor
Azerbaijan Technical University
12.2024 - Current
Lecturer
Azerbaijan Technical University
09.2022 - 07.2023
Developer
Bank Respublika
10.2020 - 02.2025
Master of Science - Information Security
Azerbaijan Technical University
Bachelor of Science - Computer Science
Baku State University
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