Загруженный файл CV

Curriculum Vitae

EDUCATION AND TRAINING

• September 2022 – June 2024

  • Master’s degree in Software Engineering
  • T.G.Shevchenko Pridnestrovian State University
  • Courses: Software engineering, Architecture of software systems, Neural networks and deep learning
  • Research Work: "Automated Wagon Number Recognition System"

• September 2018 – June 2022

  • Bachelor’s degree in Software Engineering (diploma with honours)
  • T.G.Shevchenko Pridnestrovian State University
  • Courses: Computer architecture, OOP, Databases, web development, Advanced techniques of programming, Artificial intelligence, Computer networks, Fundamentals of electronics, Discrete mathematics
  • Diploma project: "Automatic control of a vehicle in a computer game". Used neural network, implemented an autopilot program that can automatically move and recognize different objects

WORK EXPERIENCE

• January 2025 - Present

  • Lecturer / Assistant Professor
  • Department of Software Engineering, T.G. Shevchenko Pridnestrovian State University
  • Responsibilities: Deliver courses on software engineering, neural networks, and programming (Python, OOP, etc.), Develop curriculum materials and practical labs for modern software development tools.

• July 2023 - December 2024

  • QA Automation Engineer
  • Responsibilities: Writing and maintaining automated test scripts using pytest, Utilizing SoapUI for API testing, Migrating legacy tests from Python 2.7 to Python 3.8, Developing and executing unit, integration, and regression tests with Robot Framework, Working with the requests library for HTTP requests, Analyzing test results and reporting issues, Performing manual testing on tape libraries.

• January 2023 – May 2023

  • Machine Learning Engineer
  • Responsibilities: Applying a pre-trained neural network model and fine-tuning it using PyTorch, Implementing transfer learning techniques, Preprocessing and cleaning data using Python, Evaluating and optimizing model performance, Collaborating with team members to integrate the model into production environments.

• June 2021 – October 2022

  • Programmer Analyst
  • Responsibilities: Analyzing and editing a large number of license plates in software environments for further training of the neural network.

SKILLS

• Professional skills: Python, C#, C++, PyTorch, NumPy, Pandas, Scikit-learn, OpenCV, pytest, Robot Framework, SoapUI, RESTful, SOAP services, Data cleaning and preprocessing, Helix ALM, SCM, Git, Agile methodologies, cross-functional teamwork
• Languages: Russian (Mother tongue), English (B1 level in listening, reading, spoken interaction, spoken production, and writing)

Personal skills

• Fast learner
• Team player
• Critical thinking.