Aydogan K.

Collaborated with the engineering team to develop and maintain backend systems supporting environmental technology solutions.

Utilized Python to build scalable and efficient services tailored to wastewater treatment, air purification, and renewable energy projects.

Supported cloud-based infrastructure, ensuring robust performance, availability, and security of backend applications.

Contributed to the integration of systems within subsidiaries such as BiogasTec and IPEC, enhancing interoperability across platforms.

Participated in code reviews, debugging, and performance tuning to maintain high code quality and system reliability.

Worked in a part-time, dedicated capacity to meet dynamic project requirements and ensure the timely delivery of backend features.

Provided dedicated part-time support as an AI expert, contributing to fullstack development initiatives across diverse projects.

Maintained up-to-date knowledge of the latest AI advancements by tracking industry trends and research on a daily and weekly basis.

Applied commercial experience with a wide range of AI tools to design and implement intelligent systems tailored to business needs.

Developed backend components using Python, integrating AI models into scalable services with strong performance.

Adapted quickly to evolving tech stacks, functioning as an all-rounder across backend, frontend, and AI domains.

Advised on AI strategy and implementation, ensuring practical and impactful use of machine learning and automation technologies.

Deployed a web scraping prototype to production on Microsoft Azure, ensuring scalability, security, and performance.

Optimized front-end authentication using React.js and integrated Azure Functions for backend operations.

Automated scraping and insights using AI agents and integrated LLMs for advanced processing.

Built an admin dashboard for analytics and improved the database schema.

Conducted testing, created documentation, and led knowledge transfer sessions.

Handled post-deployment monitoring and issue resolution.

Developed scalable RESTful microservices using Python Flask.

Ensured code quality, testing, and documentation with Swagger.

Collaborated with cross-functional teams for solutions utilizing JavaScript and Vue.js.

Mentored team members in best practices for SQL and NoSQL databases.

Developed Python Flask-based software to support backend services and REST APIs for healthcare applications.

Built scalable and flexible APIs connected to SQL databases to enable efficient data management and system integration.

Handled real-time data processing to support reliable inter-service communication.

Improved data accessibility and operational efficiency across the organization.

Led the development of a data analytics platform that processes real-time forex activities of more than 100K accounts with 500K daily transactions.

Developed plug-ins for MetaTrader4 components in C++

Carried out experiments and performed analyses on Big Data using MapReduce on Hadoop.

Worked on advertisement automatization, generating ads triggered by different signals.

Developed KPIs, metrics and dashboards to measure user behaviour, product quality and performance.

Performed development efforts using C/C++ on Embedded Linux platforms.

Designed the framework for automated testing smart TV and STB platforms over the network.

Designed the company’s first network-based software update system and managed to upgrade over 5M devices on the field seamlessly.