- 🔭 Current Focus: Hardware-aware LLM optimization, GPU orchestration, and custom Triton kernels.
- 🚀 Nebius Academy: Mastering high-performance infrastructure for the Israel National AI Supercomputer.
- 🛠️ Experience: 25+ years in low-level R&D, from compilers to high-frequency trading engines.
- AI Compute: Triton, CUDA Kernels, GPU Memory Optimization (HBM3/SRAM), Inference Scaling.
- Systems Architecture: High-Performance Computing (HPC), Distributed Clusters, C++, Go, Rust.
- MLOps: GPU Orchestration, Docker/K8s for AI, Latency-Critical Backend Systems.
- Legacy Expertise: Compiler Design (Lex/Yacc), R&D, Real-time Search, and IoT Data Streams.
I am documenting my deep-dive into AI Performance Engineering here:
- AI Performance Engineering Repo - Benchmarks, Triton kernel optimizations, and GPU scaling experiments.
Founder & CTO | vkhey! Mar 2025 – Present
- Architecting high-performance multimodal RAG systems (text, video, audio) for enterprise scale.
- Bridging 25 years of systems engineering into the "plumbing" of the agentic AI era.
Principal Developer | Labguru May 2023 – Mar 2025
- Engineered a first-of-its-kind cross-server communication platform for distributed lab environments.
- Led technical implementation for ISO 27001, GDPR, and SOC 2 compliance in high-security environments.
Principal Developer | Kando Jan 2021 – Mar 2023
- Tech lead for the National COVID-19 monitoring project, managing massive IoT data streams.
- Optimized data-processing algorithms and high-performance dashboards for national-scale infrastructure.
Principal R&D Dev | SeekingAlpha Jul 2015 – Jul 2020
- Built multi-million dollar ad products and high-throughput analytics pipelines for 20M+ monthly users.
Note: While I am a polyglot (Python, Ruby, Node.js, Go, C#, C++), I specialize in System Design where the choice of tool is dictated by hardware constraints and performance requirements. Currently spending my days in Triton and C++ to squeeze every TFLOP out of the H100.
- LinkedIn: linkedin.com/in/valhk
- Website: vkhey.com
- Email: val@vkhey.com
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