Komiljon Khamidjonov

Komiljon Khamidjonov e-mail: [e-mail]
Strong Middle Python Developer tel.: [phone]


Education
Tashkent University of Information Technologies,
Qwasar Silicon Valley
Focus area on Web development, Data Science, System Design, Database Management Systems


Experience


Python Developer, Road24 (app with 1,5 million users) 2023 – Present

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  I optimized performance of backend with 1,5 million users
  
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  Fixed bugs and added new features which caused ~100,000 users to join
  
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  I optimized pdf parser(daily 60-80,000 files) using multithreeding and asyncio
  
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  Cybersecurity: I've blocked data-stealing bots, man-in-the-middle attackers
  
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  I’ve optimized minio based CDN file storage with adding auto deleting unnecessary files logic
  

Head Mentor, Astrum (Qwasar in Tashkent) 2021 – 2023

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  I developed program named “HelpMe & Hero” for automation Peer-to-Peer sysytem
  
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  I went to Abu Dhabi to conduct research and applied some of the methods of the School42 educational system to the Astrum Academy
  
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  I mentored the programmers of the Ministry of Defense in the Special Python training course
  
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  I developed web LMS solutions
  
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  I have organized video lessons in the areas of Data Science and Fullstack Web in Uzbek.
  

Python Developer, ZK.uz – Asian IT Experts Team Aug 2021 – Nov 2021

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  Django Rest API for ERP Solutions
  
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  Developed Kindergarten Management System which has integrated Face Recognition System
  
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  Warehouse management system with Django, DRF and Postgresql as DBMS
  

Python Developer, Delx.uz 2020 – 2022

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  AI based software that identifies defective products for Artel
  
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  Web development for Business Automation(ERP) solutions
  
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  Software products for E-Commerce
  
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  Integrated Machine Learning algorithms to Django based business automation web applications.
  
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  Telegram bots and Web Scrapers
  

Projects

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  NLP based system for voice identification with FastAPI and Pytorch
  
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  Software for Banks to improve its marketing conversion rates by allowing them to target and predict which of their deposit clients are most likely to accept a loan offer from the bank. I Implemented a multi-variable linear regression model on a large and complex data set, analyzed and evaluate the implications of my model on real-life users
  
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  Third party project for Huge Cloud Based Learning System which has 2000 visitors per minute.
  
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  Software which analyzes HDFC Stock and predictes prices with accuracy 97%