My expertise lies in Python, from server-side systems to AI. As a backend developer, I am skilled in SQL and relational databases. In addition to Python, I have fundamental knowledge of C++ and have worked on projects using Kotlin. I am experienced with DevOps technologies, including Docker, Kubernetes, Linux, and Ansible. I also have a strong background in CI/CD pipelines (Jenkins, TeamCity), and Git.
I am adaptable to change and always eager to learn. I have practical experience with project management tools like Jira, Atlassian, and Trello, and have used Gantt charts to plan my own projects. I excel in collaboration and communication, which are crucial in DevOps environments for effective teamwork. My problem-solving skills help me to tackle challenges creatively and efficiently. Additionally, I am detail-oriented and possess strong analytical abilities that enhance my Python development work, allowing me to write clean, maintainable code. I prioritize continuous improvement and embrace feedback to optimize processes and outcomes
- BSc in Computer Science
- 2019–2023
- Average GPA: 1.6
- Exchange Student in Computer Science
- March 2023 – July 2023
- Average GPA: 1.8
Certified in AWS Cloud - View Certificate
CCNA Badge - Introduction to Networking - View Badge
Product of Waveaccess - ValueAI
Technologies:
- Python Web Framework
- Microservice Architecture
- Agile/Scrum
Contributions:
- Implemented Kafka for improved efficiency and bandwidth
- Developed speech recognition functionality
US-based client CLX Health LLC - Yorn
Technologies:
- Legacy Codebase Management
- Unit & Integration Testing
Contributions:
- Implemented Celery with RabbitMQ
- Building of CI/CD pipelines and workaround
- WebDev with Flask as a part of microservice architecture
Tool for eveluation of efficiency of PQC (Post Quantum) Algorithms - github
Technologies:
- Golang async script for grabbing metrics from compiled binaries
- Prometheus + Grafana for local resource management