Software Consultant

Buckberry Studios

Full-stack Engineer

Feel Robotics

1. • Engineered a Shopify integration by developing a dashboard using Python, Django, and Angular, deployed on AWS EC2. This solution
2. optimized inventory and order processes across four warehouses, significantly elevating operational efficiency. Implemented webhooks and
3. RESTful API integration for real-time data synchronization, enhancing system responsiveness. Utilized Docker for containerization, ensuring
4. scalable and secure deployment.
5. • Deployed a custom, collapsible order tracking interface with advanced reporting tools in JavaScript. This system increased inventory tracking
6. accuracy by 40% and expedited the order-to-fulfillment cycle by 25%, significantly enhancing both the user experience and sales visibility.
7. • Created a scalable, multi-warehouse ordering system, adeptly handling API integration challenges. This system enhanced order processing
8. precision and played a pivotal role in driving both B2B and B2C market expansion. Project management and team collaboration were
9. streamlined using the Atlassian Suite

Software Engineer

Humgy

1. • Initiated and deployed Humgy's payment systems, automating transactions and enhancing integration
2. across web and mobile platforms. Utilized Python and Node.js for backend development, AWS for
3. cloud services, and Apache Airflow for workflow automation. Integrated seamless payment processing
4. with REST API, complemented by user-friendly interfaces developed in JavaScript, Flutter, and React

Robotics Software Engineer

Milvus Robotics

1. • Integrated C++, ROS, and Python for robust image processing and sensor fusion, leveraging OpenCV to
2. significantly enhance robotic perception and system efficiency.
3. • Developed Milvus Fleet Manager backend with a focus on C++, Python, Node.js, Docker, and Linux.
4. Crafted a user-friendly Flutter frontend, ensuring high-performance and stable operations.
5. • Led a 7-engineer intern team, emphasizing C++ and embedded integration. Spearheaded navigation
6. algorithm improvements using Python, C++, and ROS. Applied PyTorch for ML, GraphQL for optimized
7. data handling, resulting in a significant daily time saving of 2 hours per robot. Utilized Agile
8. methodologies and the Atlassian Suite for efficient collaboration and project management.

Software Engineer

Hepsiburada

1. • Developed an automated receipt management system using Node.js and Python. Interfaced with
2. Turkish government RESTful APIs, utilizing MongoDB and RabbitMQ. Contributed to a $2M annual
3. reduction in operational costs, enhancing transaction processing efficiency and system reliability.
4. • Worked with AWS EC2 for scalable cloud hosting, optimizing Docker and Kubernetes for container
5. orchestration. Resulted in a 50% increase in user engagement and substantial performance
6. improvement.

Trakya University

Computer Science