Summary
Zach Melamed is a founder and senior software architect with 11+ years building high-performance distributed systems and large-scale Generative AI infrastructure, most recently leading LLM training acceleration and accuracy tooling at Huawei’s Tel Aviv research center. He combines deep systems expertise—CUDA, PyTorch, Megatron, DeepSpeed—and low-level performance tuning with a strong track record in productizing training and serving pipelines from autonomous driving to finance. Zach has repeatedly founded and scaled tech ventures (from algo-trading firms to consultancies), bringing both CEO/CTO experience and hands-on C/C++ and Python development to solve real-world bottlenecks. Notably, he designed an accuracy-correction POC to ease client migration to Huawei hardware and continues to apply advanced model-parallelism and alternative optimization research to production constraints. He pairs an M.Sc. in Finance with a pragmatic engineering mindset, blending quantitative rigor and systems-level optimization to deliver high-throughput, low-latency ML platforms.
11 years of coding experience
26 years of employment as a software developer
M.Sc, Finance, M.Sc, Finance at Tel Aviv University
IASA
English, Hebrew