Daria Malkova is a software engineer with five years of experience building distributed data and backend systems, currently based in Serbia and working at Innova. She has deep practical experience with Apache Beam, Kafka, Pub/Sub and GCP Dataflow from multi-year vendor engagements with Google and Akvelon, where she also helped design the Beam Playground and led teams implementing cross-language SDK workers. Her background spans big data engineering, backend C++/Python systems for high-volume government reporting, and applied machine learning projects including a GPT-2 based text generation service and ML internships curriculum. Daria’s early research in computational topology and image analysis informs a rigorous, mathematically grounded approach to feature design and large-dataset problems—an uncommon blend for an engineering-focused profile. Colleagues describe her as a hands-on technical lead who translates business needs into robust architectures while staying involved in implementation.
5 years of coding experience
10 years of employment as a software developer
Master's degree Computational and Applied Mathematics, Master's degree Computational and Applied Mathematics at Yaroslavl Demidov State University
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Contributions:8 reviews, 7 PRs, 41 pushes in 9 months
data-cloudgcpsolvinggoogle-cloud-platformbigquery
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.