Timur Usmanov

Timur Usmanov

Machine Learning Intern

Followers of Timur Usmanov523 followers
location of Timur UsmanovTashkent, Uzbekistan

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  • Timeline

  • About me

    Software Engineer @ Yandex | AWS Certified

  • Education

    • INHA University in Tashkent

      2016 - 2020
      Bachelor's degree Computer Science and Software Engineering

      GPA: 4.46 / 4.50, Top 1% of the Class, Dean's List

  • Experience

    • Periplus AG

      Jun 2019 - Aug 2019
      Machine Learning Intern

      Participated in the internship program under the supervision of experienced mentors. Learned the basics of Artificial Intelligence, and Machine Learning specifically in Python (using Tensorflow/Keras, Pandas, Numpy, scikit-learn).

    • LDKR Group, Inha University

      Feb 2020 - Feb 2021
      Researhcer

      Participated in a team to create an analogue of Princeton WordNet for further use by applications in Uzbek language:- Analyzed the structure of PWN and the source files- Performed data filtering and formatting of database files using Python- Used a lexical resource (dictionary) for automatic translation of PWN concepts- Optimized the time to query the database for faster structure traversal

    • "Single integrator - UZINFOCOM"โ€‹ LLC

      Sept 2020 - Mar 2022
      Python Developer

      ๐— ๐˜†๐—œ๐——URL: https://myid.uz/en/Contribution:- Played a key role by developing an AI solution for biometric authentication to extend remote services portfolio of leading banks and marketplaces of Uzbekistan.- Researched the available liveness detection and face recognition AI models, built and trained (using Tensorflow) a liveness detection model that achieved a FPR of less than 2%.- To serve the models, created a service with FastAPI and Docker, and integrated the service with the rest of the idetification system. This allowed for automation of user verification allowing for significant cost reduction via employing less staff for manual application processing.- Developed new features for and maintained the main identification service in Django, improving user experience.๐—ฃ๐—ถ๐—ถ๐—บ๐—ฎ๐—œ๐——Contribution:- Created an authentication service with Flask and Docker to enable face recognition in authentication flow for Presidential Schools, which allowed to engage 2 times less school staff during the entrance exam check-in process.- Sped up registration of school staff and applicants by creating a NoSQL (Apache Solr) database for vectors for fast face searching and flexible profile creation and modification.- Reduced the time to process creation of new profiles and check-ins by 2-3 times via utilizing capabilities of Tensorflow for AI model inference on multiple GPUs. Show less

    • EPAM Systems

      Apr 2022 - Oct 2024
      Software Engineer

      ๐——๐—ฎ๐˜๐—ฎ ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—ผ๐—ณ ๐—ฎ ๐—ฏ๐—ถ๐—ด ๐— ๐˜‚๐—น๐˜๐—ถ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—œ๐—ป๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐—ป๐—ด๐—น๐—ผ๐—บ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒContribution:- Led the implementation of new features for part of the platform - broke down the requirements and collaborated with colleagues-experts in Snowflake, coordinated delivery of features, discussed potential design and integration with the frontend team.- Managed deployments, enforced good practices: code coverage of 90%, SOLID.- Created new serverless API using combination of API Gateway and Lambda functions, used Terraform configuration for IaaC management. The API allowed to automate management of isolated user spaces in Snowflake, eliminating the burden of processing user requests from experienced data engineers on the platform.- Improved user experience using optimizations for AWS Lambda functions. Maintained existing APIs in AWS environment (API Gateway, Lambda, RDS).๐—ฆ๐—ฒ๐—ป๐˜€๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—œ๐—ป๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—Ÿ๐—ฒ๐—ฎ๐—ธ ๐——๐—ฒ๐˜๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ (๐—˜๐—ฃ๐—”๐—  ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐—ฎ๐—น ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜)Contribution:- Developed a service for leak detection automation (PII, access keys) in git repositories using FastAPI and Docker in AWS environment. Enhanced flexibility and scalability by refactoring the service into 3 separate ones, used SQS for communication.- Subscribed the service to Kinesis topic that was pushing commit events. Integrated the service with Github API for fetching commit information and code diffs, and employed an S3 bucket to store commit information in order to reduce calls to Github API for the repositories recurring in Kinesis messages.- Integrated the service with AI pipelines (SageMaker) to verify the potential leaks, which has lowered the number of false positive findings by more than 60%, which allowed for lesser utilization of humans for verification of the potential leaks. Show less

    • Yandex

      Oct 2024 - now
      Software Engineer
  • Licenses & Certifications

    • AWS Certified Developer โ€“ Associate

      Amazon Web Services (AWS)
      Sept 2023
      View certificate certificate