Python-разработчик

Описание

YERMAKHAN SERIKBAYEV
+7(776) 629-0377 ⋄Astana, Kazakhstan
gmail ⋄linkedin ⋄gitlab ⋄github
OBJECTIVE Python Engineer with 2+ years of experience in Commercial Development, seeking relevant intern/new grad roles.
EDUCATION Master of Computer Science and Management
, KazUTB Expected 2026
Bachelor of Science in Computer Science , Nazarbayev University 2019 - 2024
SKILLS Technical Skills
Django/DRF, FastAPI, Docker, PostgreSQL, Redis, Celery, Linux, Distributed Systems, Git.
Soft Skills Communication, Teamwork, Adaptability, Attention to Details, Strong Work Ethics.
EXPERIENCE Python Developer
Sep 2024 - Present
DREAMLAB TECHNOLOGIES Astana, Kazakhstan
• Implemented push notifications for a proxy app, integrating multiple services for real-time alerts.
• Built a proxy backend for a mobile app that authenticates with multiple services, facilitating data exchange
through APIs and SOAP services.
• Tech Stack : Django Rest Framework, PostgreSQL, Lintum Encryption, Celery, Docker, Firebase, SOAP.
Python Backend Developer Oct 2023 - Sep 2024
ECOSEN Almaty, Kazakhstan
• Developed a logistics administration app, reducing service delivery time within the city from 2 hours to 1 hour.
• Designed a phone number validation system via Telegram bot as a backup for SMS verification, achieving 100%
successful authentication rate.
• Integrated a card payment service for the app, enabling donations and seamless transactions for services.
• Tech Stack : Django Rest Framework, PostgreSQL, Redis, Celery, Docker, Linux/Ubuntu.
Back-end/Server Engineer Sep 2022 - Oct 2023
NEO-ONE Almaty, Kazakhstan
• Architected an entire back-end data storing and retrieving for the education VR game.
• Presented the pro ject in Digital Bridge Forum, securing government sponsorship.
• Tech Stack : Django Rest Framework, PostgreSQL, Linux, Gunicorn/Nginx, SSL, Docker, Postman.
Python Backend Intern Apr 2022 - Aug 2022
GLOBERCE CAPITAL Almaty, Kazakhstan
• Implemented Poetry for dependency management, ensuring consistent environments across development teams.
• Optimized heavy query code segments using Redis caching, achieving a 5 ×speed increase in data retrieval.
• Tech Stack : FastAPI, PostgreSQL, Redis, Poetry, Pytest.
PROJECTS Nutrition Tracking AI Bot.
Built a bot using Python, DRF, PostgreSQL and GPT-4 to analyze food descriptions
and calculate nutritional values based on audio or text input. Input is analyzed using the NLP model of GPT-4. The
accuracy of the calculation directly corresponds to the amount of details provided.