Ankara, Türkiye
I’m a backend-focused software engineer who enjoys working on complex system problems, especially around reliability, data consistency and distributed architectures. While I have experience across the stack, my main interest lies in designing and building backend systems that operate correctly under real-world conditions, not just when everything goes right but when things fail. I’ve worked on microservice-based systems handling real-time data, asynchronous processing, and high-volume workloads. This includes building event-driven pipelines, optimizing database performance, and dealing with challenges around system reliability and failure handling. Lately, I’ve been focusing more on architectural thinking: - How to design systems that don’t lose data - How to handle duplicate events and retries safely - How to reason about trade-offs in distributed systems My background in Computer Forensics has also shaped how I approach systems: with a strong focus on traceability, failure analysis, and understanding what actually happened when things go wrong. I’m particularly interested in the gap between theory and production, where most systems behave differently than expected. I like working on problems that require thinking, not just coding.
Backend-focused full stack engineer working on large-scale energy systems, primarily Outage Management System (OMS) and Distribution Management System (DMS) platforms. I design and operate microservice-based architectures handling real-time data, asynchronous workflows, and high-volume processing using Node.js, NestJS, PostgreSQL, RedisGraph, Kafka, BullMQ, and Docker. Key contributions: • Designed and optimized RedisGraph-based hierarchical data models to manage complex authorization and domain relationships within OMS • Built event-driven pipelines using Kafka and BullMQ to support real-time outage and grid workflows • Optimized PostgreSQL queries (including recursive queries) to improve performance under high-load scenarios • Standardized logging, error tracking, and observability practices across distributed services to improve system reliability • Automated CI/CD pipelines using Jenkins, ArgoCD, and Rancher for consistent and reliable deployments • Orchestrated Redis, Kafka, and PostgreSQL in Docker-based environments for local and integration setups • Contributed to an Nx-based microfrontend architecture, working with MobX for cross-layer state consistency between backend and frontend • Actively debugged and stabilized distributed systems across services, messaging layers, and frontend state interactions My focus areas include system reliability, data consistency, performance optimization, and designing systems that behave correctly under failure conditions.
Worked on Industrial Internet of Things (IIoT) systems, focusing on backend services and data-driven architectures in industrial production environments. I designed and built backend systems responsible for collecting, processing, and exposing machine and sensor data at scale. Key contributions: • Developed backend services and data processing layers using Node.js and PostgreSQL on the ThingWorx platform • Designed REST APIs and data models to integrate IIoT systems with dashboards and external services • Built data pipelines to collect and process high-volume sensor and production data • Analyzed machine data using KNIME and translated operational insights into system-level improvements • Refactored backend services to improve performance, scalability, and long-term maintainability • Focused on reliable data handling, system performance, and sustainable backend architecture design This role strengthened my experience in building data-intensive backend systems, handling real-world data flows, and designing systems that operate under continuous load.
I worked as an RPA Developer, focusing on automating internal business processes to improve operational efficiency and reduce manual workloads. My responsibilities included analyzing repetitive workflows, designing automation logic, and delivering scalable automation solutions integrated with existing enterprise systems. Key contributions include: • Developing automation solutions for Excel automation, form processing, email workflows, OCR-based document processing, and desktop applications. • Automating data scraping and data processing workflows to minimize manual data entry and reduce operational errors. • Integrating automation systems into corporate business processes to optimize data flow and improve process reliability. • Working with APIs and structured data sources to support automation logic and system integrations. This role provided a strong foundation in automation logic, data processing, API integration, and process-oriented software design.
I worked as an RPA Developer and Consultant, providing automation consultancy and process analysis for enterprise and public-sector clients. My role focused on analyzing business processes, identifying automation opportunities, and delivering RPA-based solutions and training programs. Key contributions include: • Providing RPA consultancy and process analysis for enterprise and public sector organizations. • Delivering on-site training sessions and solution demonstrations for public institutions, including Bilkent City Hospital. • Participating in solution design discussions, demos, and technical presentations for automation use cases. This role strengthened my ability to work at the intersection of business requirements and technical automation delivery.