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Gulagha
AI engineer
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Baku, Azerbaijan | [
https://github.com/Gulaghaa
SUMMARY
• Computer Science graduate student specializing in High Performance Computing, with experience
in software and web development. Strong interest in scalable systems and cloud practices, while
also open to contributing to areas such as data analytics, software testing, and development.
Passionate about advancing research in artificial intelligence and machine learning
SKILLS & TOOLS
• Technical Skills:
HTML, CSS, JavaScript, Java, React JS, Redux, Rest API, Swagger API, Axios, Git, CI/CD pipelines,
Docker, Kubernetes (familiarity), Virtualization (VM).
• Soft Skills:
Fast Learner, Motivated, Problem-solver, Team player, Effective Communicator
EDUCATION
ADA University & George Washington University Baku, Azerbaijan & Washington, USA
MS in Computer Engineering and High-Performance Computing exp. June 2027
• Selected coursework: Computer Architecture and Design, Introduction to High-Performance
Computing, Machine Intelligence, Distributed Systems
ADA University Baku, Azerbaijan
Bachelor of Science in Computer Science (CGPA 3.01/4.00) September 2020-June 2025
• Selected coursework: Data Structures & Algorithms, Intro to Computer Networks, Advanced
Topic in IT, Data Science, Machine Learning, Intro to Big Data Analytics, Database Systems
• English for Academic Purposes Program (EAPP) – Upper-Intermediate (B2) Level
Baku, Azerbaijan
Coders Azerbaijan
November 2022-March 2023
Front-End Bootcamp and Education Program
Work Experiences
1. 4-months Internship at Azercell Telecom LLC (03/06/2024 – 23/09/2024, Baku, Azerbaijan)
• Developed a multifunctional web application to manage CRUD operations for various
configurations.
• Enhanced user experience by integrating front-end validations, regular expressions (regex),
and dynamic form behaviors for better data accuracy and security.
• Collaborated with the backend team to ensure smooth integration of API endpoints.
2. Web Application for Menyu.az (01/09/2023 – 25/09/2023, Baku, Azerbaijan)
• Created a comprehensive digital menu database for Menyu.az, featuring QR code
accessibility and integrated functionalities for seamless ordering experiences.
3. Smart Inventory Management System (09/2024 – 05/2025, ADA University, Baku, Azerbaijan)
• Designed and implemented an intelligent inventory management system integrating
barcode/QR scanning with YOLOv8-based object detection.
• Automated real-time verification of inventory items, reducing manual errors
• Trained and fine-tuned YOLOv8 for accurate item recognition under varying conditions.
Activities & Awards
• Winner Participant of Employability Week, held at ADA University (April 2024).
• Duolingo English Test – Score: 130 (C1 Level) (April 2025).
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