About Ayberk
I’m a Full-Stack Software Engineer with a strong focus on building scalable, high-performance web applications and data-driven solutions.
With hands-on experience in both startups and research environments, I specialize in Python (Django, Flask) and modern frontend frameworks like Vue.js and React.js, delivering end-to-end solutions from architecture to deployment.
In my recent role, I developed and optimized a software analytics platform, boosting data retrieval performance by 85% and significantly improving frontend efficiency through architectural refactoring. I also designed and implemented a machine learning–based service to estimate development effort, achieving 62% prediction accuracy.
Beyond development, I bring a strong analytical mindset shaped by my academic research in software engineering. I’ve co-authored international publications and built intelligent systems using machine learning, NLP, and data analysis tools.
What I can help you with:
Full-stack web development (Django, Flask, Vue.js, React.js, and so on)
REST API design & backend architecture
Performance optimization & database tuning
Machine learning integrations & data analytics
AI adoption in legacy systems
I’m detail-oriented, proactive, and focused on delivering clean, maintainable solutions that create real business value.
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Cape of Good CodeSoftware EngineerDecember 2022 - Today (3 years and 6 months)
- Developed the web application of a software analytics tool by using Django, Django REST Framework, Python, Vue.js, Vuetify, and JavaScript, contributing to an increase in client engagement and satisfaction
- Architected and refactored the frontend by migrating the state management tool from Vuex to Pinia, doubled frontend performance efficiency
- Enhanced database query efficiency by resolving N+1 queries and prefetching related fields, leading to an 85% increase in the data retrieval speed
- Designed a new AI service to estimate required effort for an issue with 62% predictive accuracy by utilizing pandas, NumPy, Matplotlib, Seaborn, scikit-learn
- Designed a new AI service to predict issue types by training a transformer model with %78 F1-score
- Architected and implemented a high-performance calculator service processing million-scale datasets in under 3 minutes
- Led frontend modernization by rebuilding the application with Vue 3 and PrimeVue, replacing the legacy Vue 2 and Vuetify 2 stack
- Stash.Co-FounderMarch 2024 - February 2026 (1 year and 11 months)Stash assists developers with actionable solutions for faster issue resolution. It provides seamless integration with version control, issue tracking, and wiki tools, then creates a step-by-step guide to resolve issues through AI-powered software analytics.
- BILSENResearcherSeptember 2022 - December 2024 (2 years and 3 months)
- Conducted research on empirical software engineering and software analytics
- Wrote a research paper about the perceived importance of CI smells by developers
- Wrote a research paper about recovering traceability links in practice
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Education
- Bachelor of Science - BSBilkent University2023Computer Science