Andrii Lashchenko is a founder and CEO with 13 years of engineering and technical leadership experience building production-grade systems in AdTech, programmatic advertising, web analytics, fintech and investment banking. He is a hands-on architect fluent in Scala/Java ecosystems (Akka, Kafka, FS2, http4s), cloud-native tooling (Docker, Kubernetes, AWS) and full-stack JavaScript/React development, routinely designing high-throughput, low-latency platforms. As PulsePointโs technical lead he led scalable ads management and streaming architectures; earlier roles include risk/trading platforms at Deutsche Bank and embedded media software for DirecTV, demonstrating breadth across domains and stacks. Andrii contributes to open-source Scala projects like scalding, focusing on robustness through exception handling and test-driven refactors โ a signal of his emphasis on code quality in core infra. Based in Cyprus, he combines entrepreneurial drive with deep systems thinking and a background in AI and signal processing, which informs his pragmatic approach to data-intensive product design. Colleagues describe him as a pragmatic engineer-founder who moves between strategy and hands-on delivery without losing sight of maintainability.
13 years of coding experience
13 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Donetsk National Technical University
Bachelor Computer Science, Bachelor Computer Science at Donetsk State Institute of Artificial Intelligence
Contributions summary:Andrii primarily contributed to refactoring and improving the `scalding` project's core functionalities. They implemented exception handling, improved code style and formatting, and performed minor optimizations. Additionally, the user wrote tests to ensure the correct handling of exceptions, demonstrating a focus on code quality and robustness within the project. Their work primarily revolved around Scala code within the core modules.
๐ฑ This extension created on top of official MongoDB Scala Driver and allows to fully utilize Spray JSON or Play JSON to represent bidirectional serialization for case classes in BSON, as well as flexible DSL for MongoDB query operators, documents and collections.
Contributions:3 releases, 3 reviews, 127 commits in 3 years 10 months
bsondriverdslmongodbmongodb-query
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