Andrei Pautov

Experience

• Ozon Fintech

  January 2024 - current

  Golang Developer

  • Released b2b and credit card scoring pipelines
  • New admin panel for risk analysts and debt collection department
  • Released service for limits changing, scaled manual pipeline speed from 1k/h to 100k/h processed users.
  • Released user overdue notification project integrated with admin panel with fresh role model
  • Built monitoring dashboards to health-check scoring platform, cache hits and scoring pipelines sanity checks.
  • Code review, project decomposing and planning, defending project architecture, requirements gathering
  • Moved billing platform to sharded database repository before black Friday sales
  • Did non flexible deadline tasks to fit central bank requirements, eg preparing user data for quarter and annual reports.
  Go PostgreSQL Redis Republic Kafka Grafana Prometheus

• PitchMe.co

  September 2022 – July 2023

  Senior Software Engineer

  • Built SaaS system for HR lead generation and candidate profile enrichment
  • Built system using Flask for web-api, celery and gevent for async tasks, deployed to Heroku using CircleCI.
  • Scaled system from 1k/h to 100k/h processed profiles
  • Integrated with ML models.
  Python Celery Docker Flask Heroku CircleCI Pytest PostgreSQL Redis

• Vivid.Money

  May 2021 – April 2022

  Senior Software Engineer

  • Polls application to replace vendor solution integrated with our admin panel. Role model for admin panel.
  • Data proxy for admin panel to gather user data among bank systems integrated with Kafka to receive updates and produce procedures for refund, block and unblock suspicious user transactions and support GDPR.
  • Moved from providers to in-house products for customer support
  Golang Python Fastapi Docker Kubernetes Prometheus Grafana AWS GitlabCI PostgreSQL Kafka

• Skoltech, CoBrain-Analytics (SBERmed)

  August 2019 – May 2021

  Research Software Engineer

  • Back-end of the systems for storage and processing of medical images (DICOM protocol) using machine-learning algorithms. Deployed to production.
  • Back-end of the system for the textual analysis of patients' symptoms. Deployed to production.
  • Back-end of the system for markup of the DICOM-formatted medical images
  • Back-end of the system for EEG markup (.edf .udf)
  Python Django Docker Kubernetes Elixir Java Prometheus GitlabCI PostgreSQL

• Flexbby

  June 2018 - August 2019

  Python and JavaScript Full Stack Developer

  • Integrated a chat bot platform with social media APIs, including VK, Telegram, Instagram
  • Developed various features of the electronic document flow system concerning document approval and archival, vacation approval and bonus calculation
  • Rebuilt company's website
  • Back-end of the system for EEG markup (.edf .udf)
  Python Django Java Script Boost SQL Nginx PostgreSQL GitlabCI