Feride Osmanova

    Experienced Python developer with expertise in building high-load systems and automating tax compliance processes. Specialized in developing scalable API integrations (HMRC, ELSTER, Amazon, Shopify) and optimizing databases. At LOVAT Compliance, implemented solutions that reduced tax report processing time by 40% and decreased error rates by 70%. Proficient in the full stack of technologies for distributed systems: FastAPI, PostgreSQL, Redis, RabbitMQ, Kubernetes. Possess a unique combination of deep technical knowledge and a solid understanding of fintech business processes. Actively involved in academic peer review, blending a scientific mindset with hands-on experience.