Istanbul, Türkiye
Backend Software Engineer specializing in Python, Django, FastAPI, and blockchain infrastructure. 3+ years building scalable FinTech systems with expertise in distributed systems, observability (ELK, Sentry, Langfuse), Docker, CI/CD, and AI agents (LangGraph). B.Sc. in Computer Science. Open to international backend, infrastructure, and Web3 roles.
- Own the financial-correctness layer across accounting and proof-of-reserves — detecting, tracing, and auto-recovering discrepancies between blockchain networks and internal ledgers. Traced and eliminated 15+ recurring bug classes that were causing accounting drift and detected more than 100 case of inconsistencies. - Built an offline KYT (Know Your Transaction) pipeline to flag illicit funds, replacing manual review and cutting that process's operational cost by ~30%. - Ran production readiness for 4+ blockchain network integrations — load-testing, finding bottlenecks, and stabilizing them ahead of launch. - Co-owned the withdrawal pipeline end to end; a redesign roughly doubled throughput and halved execution time. - Set up observability with ELK, Sentry, and custom monitoring so accounting anomalies surface before they reach customers. - Onboard and mentor new backend engineers, and run technical interviews (coding and system design).
- Built a Django Education Management System that syncs Golestan LMS data through Pandas pipelines, automating student and academic-record workflows and removing ~90% of manual data entry. - Moved heavy Excel report generation (subjects, theses) onto Celery workers so large reports run without blocking the app; peak-time generation dropped ~50%. Monitored tasks with Flower. - Handled imports/exports across 4+ report formats (~8,000 rows per file) with Pandas, validating correctness on every load. - Extended Django Admin with custom views, filters, and role-based permissions, cutting routine administrative work substantially. - Containerized and deployed with Docker, Cookiecutter, and Nginx, with structured logging for maintainability.
- Wrote Python tooling for student-number management, data cleanup, and structured data transformations across academic systems. - Automated recurring Excel-heavy workflows with Pandas, removing repetitive manual steps and keeping data consistent across departments. - Ran analysis on student datasets to surface trends for reporting and operational decisions.
● Led the design and delivery of custom web solutions using Django and FastAPI, building scalable backends and tailored features based on client requirements. ● Developed and deployed customized WordPress solutions for multiple clients, extending core functionality with bespoke plugins, integrations, and automation. ● Provided technical consulting and architecture guidance for clients, including pania.gold, helping define implementation strategies and optimize system design. ● Built and maintained automation tools and integrations, including Telegram bots and Python scripts, to streamline workflows and improve operational efficiency. ● Owned projects end-to-end, from requirement analysis and implementation to deployment and ongoing support.
Supported system configuration and onboarding for enterprise clients, translating real-world requirements into practical technical setups. Worked with Microsoft SQL Server to handle data import/export, troubleshooting data issues and ensuring correctness across client systems. Provided hands-on training and technical support to users, explaining system workflows with real examples to ensure smooth adoption. Collaborated directly with clients to tailor configurations based on their specific operational needs.
Taught English to students with a focus on clear communication and practical usage, adapting content to different proficiency levels. Improved students’ speaking and presentation skills through structured exercises and real-life scenarios. Developed strong communication and explanation skills, now applied in technical mentoring, documentation, and cross-team collaboration.