🤖 Developer Profile

🏆 Key Achievements

Ranked #1 on Image Matching Challenge 2025 (Ongoing)
- Achieved the top leaderboard spot by consciously setting a benchmark to surpass the official IMC 2025 flagship competition's top score, successfully breaking through the baseline of previously published top solutions.
- Deployed a highly optimized, custom 3D reconstruction and matching pipeline originally prepared for IMC 2026.
  
  https://www.kaggle.com/competitions/image-matching-challenge-2025-ongoing/leaderboard
  
  https://www.kaggle.com/competitions/image-matching-challenge-2025/leaderboard

Physical AI & Simulation
- Environment configuration and physical simulation using MuJoCo (e.g., HalfCheetah, inverted pendulum tasks).
- Validation of robot control and autonomous driving scenarios leveraging Vision-Language-Action (VLA) pipelines such as vLLM, Qwen2.5-VL, and Gemma 3.
3D Reconstruction & SLAM
- Implementation of 3D pipelines utilizing DUSt3R / MASt3R (by NAVER LABS Europe) and VGGT-SLAM.
- Pipeline integration converting point cloud data into STL format 3D polygon meshes via Poisson Surface Reconstruction.
Computer Vision & Optimization
- Object detection tasks using YOLO11 / YOLO12. Implemented neutral traffic analysis logic tracking "Involved Vehicles" to avoid fault bias before signal verification.
- Performance-focused code optimization under strict execution time (avoiding TLE) and memory limits in Kaggle.

Primary Machine: MacBook Pro (M5 Apple Silicon) — Local inference and optimization leveraging the MLX framework.
Secondary Machine: Lenovo ThinkPad X1 Carbon Gen 3 (Linux Mint) — OS-level configuration and systems automation using Bash scripting.
Cloud Infrastructure: Management of on-demand GPU resources for Kaggle competitions and continuous performance benchmarking.