Position: Python/Golang Developer
Category: Golang
English level: fluent
Years of experience: 1.5

Finalist at The 2022 International Collegiate Programming Contest NERC - ( ICPC )
Qualified to the Round 1 in the Google Code Jam 2022 competition
Ranked in the Top 10% at the 2019 National Bilimkana Math Olympiad among 7 000+ Students
Awarded 1st place at the 2020 National English Olympiad of Kyrgyzstan among 50 000+ students nationwide
Software Engineer Intern
Yandex N.V.
June 2023 – Sep 2023 - (4 mos.) | Moscow, Russia

Developed Settlements microservice in GO using Finite-State-Machines that acquire payments from Africa at minimum fee cost
Supported payment adapters for Senegal and Zambia, continuously integrating new business ideas into the system
Upgraded reverse proxy server client for payment adapters in Africa which resulted in 5x faster authorization time
Designed and developed transfers feature in mockserver that helps the development team to test transfer-flow for new adapters

Software Engineer Intern
Kloop Media
May 2022 to Sep 2022 · 5 months

Optimized the memory usage of a Twitter scraper and saved 18 GB on the server by converting JSON output format into CSV
Automated weekly data upload by developing a parser API that resulted in 4x less time needed for Tweets Analysis
Developed a dynamic JSON generator that helped site admins to create Dynamic Application Forms 5x faster
Implemented Sentence Encoder in TensorFlow to convert tweets into high-dimensional vectors for further sentimental analysis
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Pet Projects:

Classroom Booking System | Stack: Python, Django RF, MySQL

Designed and developed the backend of a room management system, connected 2 universities with 2000+ students in total
Improved the Admin panel to easily manage meeting proposals from users by integrating Email notifications
Used SHA 256 hashing with salt that provided a secure client-side Email verification before creating a new event
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Smart Lawyer Bot | Stack: Python, Django RF, PostgresSQL, ElasticSearch 

Built a Telegram bot integrated with a trained model that helps 120+ monthly active users with governmental laws
Achieved 88% response accuracy by embedding the dataset of laws into 512D vectors by using Google’s Sentence Encoder
Implemented ElasticSearch on the embedded answer list that decreased response processing time from 2000 ms to 250 ms
A diverse team where there is always space to grove and interesting challenges to solve.