Dipl.-Ing. Ümit Murat Canpolat

AI-powered restaurant discovery and conversational ordering platform for the hospitality industry. - Architected and deployed an AI-driven chatbot using Django, WebSockets, Redis, and PostgreSQL to handle high-concurrency workloads - Engineered a Redis caching layer that reduced database queries by 25% - Integrated Celery for asynchronous background task processing, boosting overall system throughput by 20% - Optimized PostgreSQL indexing strategies, reducing data retrieval latency by 30%

- Revamped TM Forum-compliant telecom database architecture, improving query performance by 20% - Designed dynamic SQL filters to replace problematic static queries, enhancing system flexibility - Developed new system functionalities based on technical requirements documentation - Automated validation scripts to enforce cross-system data integrity and reduce manual errors

- Built a Google Cloud Platform (GCP) microservice, accelerating file operations by 30% - Migrated media hosting infrastructure to Google Cloud Storage, reducing costs by 25% compared to Cloudinary - Implemented Stripe subscription management with automated webhook notifications for real-time payment processing - Developed NFT metadata-mapping service, boosting user engagement by 20% - Integrated Pinata IPFS (InterPlanetary File System) for decentralized and secure storage solutions

- Enhanced python-exiv2 open-source library with critical image-processing features for metadata extraction - Provided technical feedback that led to memory-efficient processing capabilities adopted in the library's core - Built Amazon S3-powered microservices, increasing video and image throughput by 50% - Modernized system architecture by migrating Flask monolith to Django REST Framework, improving maintainability

- Migrated PHP/MySQL legacy application to Django/PostgreSQL with zero downtime and no data loss - Improved application performance by approximately 40% through query optimization and Redis caching - Implemented CI/CD pipelines and automated nightly encrypted database backups - Configured Linux servers with Nginx and Gunicorn for production deployment

- Boosted data ingestion efficiency by 30% by optimizing Python web scrapers and data pipelines - Improved search functionality and user onboarding experience a for cybersecurity SaaS platform - Refactored AWS Lambda functions, reducing execution time by 20% and lowering operational costs

- Integrated Business-to-Business (B2B) and e-commerce systems via RESTful APIs for Tictocsoft clients - Customized Django Admin interface for the GOLDLAND platform, improving administrative workflows and efficiency - Improved third-party API reliability by 25% through implementation of robust error handling and retry mechanisms

- Led migration from Python 2.7/Django 1.x to Python 3.x/Django 2.x, reducing maintenance costs by 20% - Built an automated inventory and invoicing system, cutting manual workload by 40% - Mentored junior developers and documented best practices, shortening onboarding time by 30%

- Developed a comprehensive reservation system for Ilica Hotel, handling 100+ daily bookings - Built custom admin dashboards that increased operational efficiency by 40% - Consistently delivered projects on time and within performance targets