A Software Engineer who bridges the gap between complex AI research and efficient, real-world systems. I build solutions that are not just accurate, but robust and scalable.
π Performance Tuning: Real-time ViT on Edge AI
I tackled the challenge of deploying a heavy Vision Transformer (RT-DETR) on a resource-constrained NVIDIA Jetson device, achieving a 2.8x inference speedup (9 β 26 FPS). This optimization was a key factor in securing a β©12B government contract and proved the commercial viability of using advanced ViT models in edge environments.
#PerformanceOptimization #EdgeAI #TensorRT #PyTorch #NVIDIAJetson
ποΈ System Architecture: AI Development Productivity x10
To resolve a critical development bottleneck, I architected 'PIPER', a standardized, asynchronous system for large-scale AI development. This system dramatically reduced data processing time from 4+ hours to under 5 minutes and streamlined new model integration, boosting overall team productivity.
#SystemDesign #MLOps #Automation #Redis #Python
π Open Source Contributions
I actively contribute to the open-source community, focusing on improving the stability and usability of state-of-the-art AI models for developers worldwide.
- RT-DETR: Enhanced TensorRT inference stability and added support for next-gen hardware. (#480, #620)
- Co-DETR: Improved developer experience by fixing Docker environment issues. (#123)
- EasyOCR: Corrected a critical bug in text detection coordinates. (#920)
#Community #Collaboration #ProblemSolving
- AI & Vision:
PyTorchTensorFlowTensorRTOpenCVComputer Vision - System & Infra:
PythonDockerLinuxRedisSystem Architecture - Etc:
CGitFlutter