Software Engineering Student interested in building systems that are reliable, scalable, and efficient. Strong computer science foundation with hands-on experience in designing APIs, developing microservices, and making services scale in cloud-native architectures.
Deeply curious about distributed systems, automation, and performance optimization—I thrive on solving challenges in scalability, data flow, and service interaction. I enjoy the pace of modern engineering environments, turning complexity into elegant, reliable solutions.
Recent work includes developing an AI-powered dynamic pricing platform using a FastAPI microservices backend, React frontend, MongoDB Atlas, and AWS deployment. Beyond projects, I stay sharp by tackling algorithmic challenges and contributing to open-source.
Technical Skills
Languages
Python
Go
Java
SQL
Bash/Shell
Frameworks
FastAPI
Django
ASP.NET Core
React
Databases & Caching
PostgreSQL
MongoDB (Atlas)
Elasticsearch
Redis
Cloud, DevOps & Infra
AWS
Azure
Docker
Git
GitHub Actions (CI/CD)
Terraform
Backend Technologies
RESTful APIs
gRPC
WebSockets
RabbitMQ
Celery
NGINX
Prometheus
Grafana
Linux
Experience
Software Engineering Intern
FlyRobotics, Santarem, Portugal — June 2025 - September 2025
Migrated a legacy WordPress setup to a Django + Wagtail CMS, improving API structure, security, and long-term maintainability.
Developed and connected REST APIs to a React frontend for dynamic content rendering and frontend/backend separation.
Designed reusable Wagtail page models and collaborated with designers to streamline non-technical content editing.
Designed a distributed microservices architecture with 6+ services (Scraper, Pricing Engine, LLM Assistant, API Gateway), processing 1,000+ daily price comparisons with 99.95% uptime
Built an automated scraping system using Playwright, Celery, and anti-bot tactics, extracting product prices from 50+ e-commerce platforms and reducing manual tracking by 90%
Integrated Google Gemini API and contextual product rules to deliver real-time pricing recommendations, boosting profit margins by 15–25% and cutting decision-making time by 85%
Deployed a production-grade stack on AWS with Terraform and GitHub Actions CI/CD, enabling versioned infrastructure, seamless rollouts, and zero-downtime deployments
Developed a backend system that integrates with Datadog and Grafana APIs to fetch real-world logs and automatically clean, normalize, and deduplicate them using Claude.
Implemented parallel ingestion and processing with Ray to handle large-scale unstructured logs, achieving up to 3× faster cleanup compared to sequential processing.
Designed modular endpoints enabling easy integration with developer tools, transforming chaotic logs into structured, queryable datasets for rapid debugging and analysis.
Education
Celal Bayar University
Bachelor of Science in Software Engineering, Manisa, Turkey — Sep 2022 - Feb 2026 (Expected)
Relevant Coursework: OOP, Software Architecture and Design, Service-Oriented Architecture, Software Testing, Software Requirements and Analysis, Computer Networks, Database Management System.
Instituto Politécnico de Tomar
Erasmus+ Exchange Study program in Computer Engineering, Santarem, Portugal — Feb 2025 - July 2025
Relevant Coursework: Project Management, DevOps, Web Development, Internet of Things, Operating Systems, Intelligent Systems.