Can
From Turkey (UTC+3)
Can – Django, Flask, Python
Software engineer with 8+ years designing and shipping production web systems end to end — domain modelling and API design through deployment, CI/CD, and automated testing. Works across event-driven architectures, relational data modelling, and cloud infrastructure, with the deepest experience in the Python ecosystem. Earlier background in data science and NLP that now supports LLM-based product work.
8 years of commercial experience in
Main technologies
Additional skills
Direct hire
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Let’s get started today!Experience Highlights
Software Engineer
A VIP member community platform designed to help organizations build, manage, and engage exclusive member networks. The product integrates closely with HubSpot CRM to centralize member data, automate communication and lifecycle workflows, and provide a seamless experience across community and CRM touchpoints.
- Led backend development and contributed to technical planning and delivery.
- Designed and implemented RESTful APIs using FastAPI.
- Built and maintained HubSpot CRM integrations and related business workflows.
- Applied hexagonal architecture and domain-driven design principles.
- Developed the data-access layer using SQLAlchemy Core, repositories, and unit-of-work patterns.
- Implemented asynchronous, event-driven processing for background tasks.
- Deployed and maintained backend services on AWS.
Software Developer
An AI-powered virtual customer platform that helps businesses evaluate product and marketing concepts before they reach the market. By simulating target-audience perspectives and responses, the solution enables teams to validate ideas earlier, improve campaign decisions, and reduce the cost and risk of product launches.
- Developed event-driven microservices using publish/subscribe messaging patterns.
- Built components supporting virtual-customer simulations and AI-driven product evaluation workflows.
- Researched and evaluated emerging AI capabilities, with a focus on LLMs and AI agents.
- Deployed and served local LLMs to support GDPR-compliant data processing requirements.
- Contributed to LLM orchestration, prompt engineering, and AI-agent development.
Full Stack Developer
A custom middleware and systems-integration platform that helps businesses connect fragmented software tools across their IT landscape. It provides a flexible orchestration layer that standardizes communication and data exchange between applications, streamlines core business processes, and enables faster adaptation of business logic as organizational needs change.
- Developed full-stack features for custom middleware and systems integration solutions.
- Built and maintained APIs and integrations between internal and third-party business systems.
- Implemented workflows that improved data exchange, process automation, and interoperability across applications.
- Collaborated with stakeholders to translate operational requirements into scalable technical solutions.
- Contributed to the design and delivery of tailored software components supporting customers’ core processes.
Full Stack Developer
GCP-Service International is a full-service Contract Research Organization (CRO) that supports pharmaceutical, biotechnology, and medical-device companies throughout the clinical-trial lifecycle. Its services span clinical operations, regulatory support, data management, biostatistics, safety, medical writing, and digital trial-management solutions for studies from Phase I to Phase IV.
- Developed and maintained full-stack features for internal clinical-trial and operational-management systems.
- Built user-facing interfaces and backend services supporting clinical data, document workflows, and study operations.
- Integrated third-party services and internal platforms to improve information flow across trial-management processes.
- Collaborated with cross-functional stakeholders to translate clinical and operational requirements into reliable software solutions.
- Contributed to the maintenance, enhancement, and quality of business-critical applications.
Software Developer
Connected healthcare technology that helps care teams monitor and support patients beyond hospitals and clinics. Its Well@Home platform combines remote patient monitoring, telemonitoring, digital diaries, and self-service health measurements, enabling care providers to access patient data remotely and deliver more continuous, efficient care.
- Developed and maintained features for a custom healthcare platform supporting remote patient monitoring and self-testing.
- Built backend services and user-facing functionality for collecting, managing, and displaying patient health data.
- Integrated connected devices and external systems to enable reliable data exchange across the care ecosystem.
- Improved application performance, stability, and maintainability for business-critical healthcare workflows.
- Collaborated with product and healthcare stakeholders to deliver practical software solutions aligned with user needs.
Back-End Developer
A network infrastructure project focused on maintaining and configuring core connectivity equipment, including switches, hubs, and bridges. The work supported stable communication between devices and the reliable day-to-day operation of enterprise network environments.
- Maintained and configured network switches, hubs, and bridges.
- Developed and maintained web applications using Python and Flask.
- Designed and implemented RESTful APIs to improve application integration and manageability.
- Improved legacy codebases to increase scalability and compatibility with newer technologies.
- Applied multithreading, exception handling, and engineering best practices to build more robust applications.
- Participated in code reviews, code management, and pull-request merges to maintain code quality.
Data Scientist
A financial-services technology platform supporting banks and other financial institutions with digital banking, core banking, payment, CRM, business process management, analytics, and cloud-based infrastructure solutions.
- Developed data-driven solutions for banking and financial services use cases.
- Prepared, transformed, and analyzed large datasets to support business intelligence and decision-making.
- Built and evaluated predictive models and analytical workflows.
- Collaborated with product, business, and engineering teams to translate financial-domain requirements into data solutions.
- Supported the development and maintenance of scalable data pipelines and reporting processes.