Viktor Jovev

Background

About Viktor Jovev

I’m a versatile software engineer who thrives on solving complex problems, from building SaaS platforms to creating data-driven solutions. Whether I’m deep into full-stack work with Rust, Python-Django, and TypeScript or scaling cloud infrastructure on Google Cloud Platform, I’m all about efficiency and impact.I’ve engineered analytics microservices, optimized ETL pipelines, and brought insights to life with Apache Superset and seamless integrations like Google Pub/Sub. Jumping between data science and software engineering, I apply machine learning for anomaly detection and predictive modeling while integrating APIs like HubSpot, Mixpanel, and Intercom.Currently pursuing a Master’s in Applied Mathematics, I’m always learning and refining my craft. I write clean, maintainable code rooted in and SOLID principles and bring dedication and resilience to every challenge. Let’s build something impactful together!