Python Developer

Experience

Senior Python Developer / Precise TV

Mar 2023 – Present

London, England

Precise TV leverages context-aware ad technologies to enable brands to connect with their target audience in real-time. By analyzing millions of videos at a granular level, their machine learning platform identifies precise moments that reflect users' interests. This mapping of precise moments facilitates scalable brand integration, delivering transparent and brand-safe advertising that drives increased engagement, product interest, and ultimately, sales.

• Designed and implemented robust database architectures, leveraging technologies such as DynamoDB and Redshift to ensure efficient data processing and storage for high-scale applications.

• Oversaw codebase maintenance and version control, ensuring proper code documentation, adherence to coding standards, and efficient code organization.

• Provided guidance and mentorship to interns, overseeing their implementation of a data loading script and facilitating its integration within a Docker environment, fostering their professional growth and contributing to the team's productivity.

• Actively participated in the recruitment and onboarding process of new backend team members, conducting technical interviews and assessing candidates' skills and qualifications.

• Spearheaded the implementation of DevOps automation using Kubernetes, Docker, GitLab CI/CD significantly improving deployment processes and ensuring streamlined workflows.

• Utilized asynchronous and multiprocessing code patterns to optimize server load and successfully scale company projects up to six times their initial capacity.

Middle Python Developer / NATS

May 2021 – Mar 2023

Tbilisi, Georgia

NATS specializes in algorithmic hedge fund strategies, using advanced mathematical models and data analysis for precise financial decision-making.

• Leveraged PostgreSQL database optimization techniques to enhance data retrieval and storage, ensuring data integrity and optimal performance in high-concurrency environments.

• Collaborated closely within a cross-functional team of developers, actively participating in code reviews, design discussions, and agile development processes to ensure smooth project execution.

• Designed and implemented concurrent processing solutions using Python's threading and multiprocessing libraries, significantly improving system efficiency and response times for resource-intensive tasks.

• Maintained and extended RESTful APIs using FastAPI, ensuring seamless integration with front-end systems and enhancing the overall user experience.

• Played a pivotal role in mentoring junior developers, fostering a culture of continuous learning and knowledge sharing within the team.

• Conducted codebase analysis and refactoring to reduce technical debt, improve code quality, and ensure long-term maintainability of the software.

• Implemented comprehensive logging and monitoring solutions, utilizing tools like Prometheus and Grafana, to proactively identify and address performance bottlenecks and system issues.

• Collaborated with the database team to optimize database schema design, SQL queries, and indexing strategies, resulting in improved query performance and reduced database maintenance overhead.

Middle Python Developer / Listing SPY

Nov 2020 – May 2021

Bangkok, Thailand

Listing SPY aims to provide a platform that allows users to easily discover new token listings across major centralized and decentralized crypto exchanges. It offers features such as an IDO calendar, real-time listings, custom filters, and a DeFi news aggregator to keep users informed about the latest developments in the cryptocurrency space. The platform also enables users to access token pages with charts and receive notifications for new listings.

• Led the development of scalable systems, delivering APIs on AWS using FastAPI and other relevant technologies, enabling seamless integration and optimal performance.

• Implemented development automation using industry-standard tools such as Docker, GitLab CI/CD, and other relevant technologies, resulting in streamlined and efficient processes for software delivery and deployment.

• Implemented dev automation using Docker, Gitlab CI/CD, and other tools, maintaining streamlined processes.

• Wrote robust and reliable code with the help of coverage of the codebase with unit testing and programming patterns.

• Introduced scrum strategy, architectural patterns, and code quality reviews to reduce tech debt.

• Utilized asynchronous and multiprocessing code patterns to optimize server load and successfully scale company projects up to six times their initial capacity, enhancing system performance, responsiveness, and user experience.

• Guided intern to implement data loading script and upping it in docker.

Junior Python Developer / Listing SPY

Dec 2018 – Nov 2020

• Extensively utilized FastAPI technologies and rewrote several backend servers with it from Flask, which had led to a decent reduction in server costs.

• Designed and implemented a lot of bash scripts for effective on-start loading data and different process upping.

• Developed a system for logging program reports directly to telegram channel.

• Configured Cron Jobs in Ubuntu to automate scheduled processes.