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oyeong011/README.md

Ohyoung Kwon

Systems and AI tooling projects focused on reproducible benchmarking, memory behavior, robotics integration, and practical developer products.

Selected projects

Project What it demonstrates Stack
KV-cache Consumer GPU Benchmark Measures KV-cache footprint, latency, throughput, and OOM boundaries across cache strategies on consumer GPUs. The documented RTX 5080 sweep contains 80 cases: 76 successful runs and 4 OOM cases. Python, PyTorch, CUDA, Hugging Face
lab-tools Reproducibility-oriented benchmark framework with CPU, CUDA, and Apple Silicon profiles; provenance manifests; energy collection; acceptance bundles; and statistical reports. Python, Shell, CUDA, C
Calen macOS menu bar calendar planner integrating Google Calendar, Apple Calendar, Reminders, and locally installed Claude Code or Codex CLI. Distributed through a Homebrew tap and GitHub Releases. Swift, SwiftUI, EventKit
Azas Seven-person ROS 2 cocktail-robot project using a Doosan M0609, RG2 gripper, and RealSense camera, with staged no-motion and hardware safety gates. ROS 2, Python, TF2, MoveItPy
Memory Hierarchy Experiment Framework C microbenchmarks and perf automation for cache locality, access patterns, TLB-related behavior, and matrix blocking experiments. C, Linux perf, Python, Shell

Current technical focus

  • AI inference systems: KV-cache memory pressure, long-context performance, and GPU measurement
  • Systems performance: memory hierarchy, reproducible experiments, energy, and provenance
  • Product tooling: native macOS workflows and local AI integrations
  • Robotics integration: perception-to-motion boundaries, staged verification, and operational safety

Languages and tools

Python · C · Swift · CUDA · Shell · ROS 2 · Linux perf · GitHub Actions

Additional work

Pinned Loading

  1. kv-cache-consumer-gpu-bench kv-cache-consumer-gpu-bench Public

    Consumer-GPU benchmark for KV-cache memory, latency, throughput, and OOM trade-offs

    Python

  2. lab-tools lab-tools Public

    Reproducibility-oriented benchmarking framework for CPU and accelerator workloads. Two-host: cpu (Intel + iGPU) and cuda (NVIDIA) profiles. RAPL/NVML energy, randomized execution, bootstrap CIs, Ma…

    Python

  3. Planit Planit Public

    macOS menubar calendar + todo app with Google Calendar sync

    Swift

  4. Azas Azas Public

    ROS 2 cocktail robot integration with Doosan M0609, RG2, RealSense, and staged safety gates

    Python 1

  5. memory-hierarchy-experiment-framework memory-hierarchy-experiment-framework Public

    C/perf benchmark framework for cache locality, TLB behavior, access patterns, and matrix blocking

    C