Roman Baksheev

- Lead the evolution of the core decision platform toward a scalable and configurable architecture - Define and execute a yearly roadmap for building a flexible logic constructor - Reduced release cycle time by 35% by introducing parallel release streams and optimizing CI/CD pipelines - Designed platform architecture and technical standards to support multi-client growth - Implemented a structured code review and release readiness process, reducing rollback rate by 40% - Lead a cross-functional team (Backend, Frontend, Data, QA) and coordinate with product managers and domain experts - Deliver internal and client-facing demos to align engineering and business objectives - Introduce structured engineering and business metrics to support long-term scalability

- Contributed to the development of a medical decision platform serving the MENA region - Designed and implemented scalable backend services using Python, FastAPI, PostgreSQL, Redis, and Celery - Reduced engine processing time from 10s to 1.2s, increasing throughput by 50% and improving profitability by 20% - Optimized storage strategy by migrating statistical datasets to Parquet, reducing storage costs by 30% - Established CI/CD workflows and automated quality checks, improving release reliability - Built structured deployment processes for remote client environments, reducing downtime by 40% - Collaborated with product and domain experts to deliver solutions for new clients, supporting a 15% client base growth - Mentored junior developers and introduced development standards that improved team productivity

- Developed a job board web application using FastAPI and PostgreSQL with SQLAlchemy + alembic - Developed a е-commerce web application using DRF and React + Redux - Developed a task manager web application using Django Rest Framework. Used Docker for containerization, Swagger for API specification and Poetry for dependency management - Managed background tasks with Celery + Redis as a message broker - Built a CI/CD pipeline with GitHub Actions - Covered apps with tests using Pytest and Unittest. Used Faker for mock-object generation and Coveralls for the coverage inspection - Promoted clean code with tools like flake8, isort, black and mypy - Used Rollbar for exception tracking and logging. Also used New Relic for service performance monitoring - Followed SCRUM/Agile methodology with Jira + GitLab flow - Performed code reviews

- Developed a news blog with Django and Bootstrap. Integrated with 3rd-party APIs for payment and email sending - Speeded up a parser app using asyncio and aiohttp - Developed an image converter with Flask and Pillow - Provided test coverage rate, applied TDD - Developed a desktop app for data aggregation from diverse Excel tables with Tkinter

- Designed, developed, built, tested and implemented complex systems and microwave modules - Analyzed problems, troubleshot and collaborated with coworkers to find solutions - Conducted technical interviews and provided training support/guidance - Promoted production culture and data-driven methodology - Built communication and relationships with key customers - Was a mentor and had built several engineering teams