Fullstack Developer With Startup Experience

● Increased performance of JSON data stream by 4 times.
● Added support for new database backends: snowflake, databricks, sqlcipher.
● Added JSON schema for API — straightforward validation, strict and type-safe API.
● Provided support for tables without primary keys and views in sqlalchemy.
● Dockerized testing databases, which reduced the amount of manual work and increased test coverage to 90%+.
● Added a SAML SSO support with autoconfiguration from metadata URL for secure sign in.
● Security fixes, SQL injection, rate limiting, account enumeration prevention, password strength policy, and XML XXE fix which made the product pass the security audit.
● Better build process by using Packer. Easier to maintain than bash scripts.
● Migrated code base from python2 to python3, startup to systemd to keep project support and development easier.
● Improved distributed system mode support by fixing synchronization of state between different nodes/processes.

● Performed development for the backend of the Django service.
● Integrated with external REST API for checking the reliability of a company.
● Implemented search for users’ profiles with Elasticsearch. This decreased response time by ~90%.
● Developed search filters for proposals catalog and refactored proposals categorization which increased showed to user proposals number by ~30%.
● Added logging of users and staff activity to aid issues investigation.
● Fixed exception handling to prevent Sentry bug report flooding.
● Covered code with unit and API tests using Django TestCase.
● Created a web parser with the requests library to get orders volume from public data.

● Automated testing of multimedia components: HEVC/h265 decoder and encoder, muxers, demuxers, and their integration. D
● Increased speed of automated tests 4-5 times by using RAM instead of HDD.
● Automated functional testing and performance profiling of High-Efficiency Video Coding decoder with use of python, which reduced need for manual work.
● Automated integration testing: with DirectShow and other multimedia products — demuxers, renders, encoders, and DivX player using internal tools in C++. This decreased manual testing from ~5 days to ~2 hours.
● Created Ansible playbook for the deployment of the test stand for Linux, MacOS, and Windows.
● Profiled android binaries over ssh and windows binaries in Intel VTune.
● OpenSource: Fixed handling of long version numbers in ansible’s module apt-cyg.

● Developed firmware for environmental sensors and data loggers. Performed RND for new sensor
types.
● Increased measurement precision by ~50% by using digital processing and automated calibration. Reduced the manual work 3 times.
● Increased battery lifetime x2 by optimizing work/sleep cycle and analyzing leak currents.
● Developed desktop tools for initializing and debugging sensors using Python and Qt.
● Performed RND for new sensor types. Analyzed data using NumPy.
● Covered code with unit tests using CppUTest.