Kateryna Malneva

Worked on AI engineering projects involving RAG, multi-agent systems, LLMs, transformers, and NLP to support enterprise production workflows; contributed to data ingestion, model evaluation, and integration into existing architectures.

Integrated next-generation AI-workload Ethernet switches by developing hybrid hardware–software environments and automating server initialization, directly enabling GPU cluster connectivity for ML infrastructure. Refactored and maintained multi-threaded orchestration scripts supporting a five-product Ethernet switch line, achieving a 10% run time reduction. Designed and maintained production software systems with 24/7 global uptime, focusing on reliability, scalability, and fault tolerance. Overhauled the ASIC program boot codebase for modular switch platforms, improving maintainability and long-term system stability.

Developed internal Python tools for a Kubernetes-based cluster management platform and tested integration with downstream services. Built and deployed a fully scalable production orchestration solution in a VM environment used by engineering, marketing, and sales teams.