I am an engineer specializing in AI inference, embedded systems, and real‑time edge AI deployment.
I build high‑performance, low‑latency AI pipelines that run efficiently on real hardware — Jetson, Orin, NPUs, RKNN, Hailo, and custom embedded platforms.

My background spans Autonomous Driving, multi‑sensor perception and medical imaging systems, and I now apply this expertise to robotics, industrial automation, commercial UAVs, and intelligent vision systems.

• Build real‑time AI pipelines for robotics, autonomous systems, industrial platforms, and commercial UAVs
• Optimize and deploy models using TensorRT, ONNX Runtime, CUDA, quantization, pruning
• Integrate multi‑sensor perception (camera, radar, depth, IMU)
• Develop embedded C/C++ systems with deterministic, low‑latency performance
• Tune GPU/NPU accelerators for maximum throughput on edge devices
• Architect end‑to‑end inference stacks from model → optimization → deployment → validation
• Build scalable, domain‑neutral AI systems across robotics, medical devices, and smart vision

• AI inference engineering — TensorRT, ONNX Runtime, CUDA, model optimization
• Embedded systems — C/C++, Linux, real‑time runtimes, low‑latency pipelines
• Edge AI deployment — Jetson, Orin, RKNN, Hailo, DeepX, NPUs
• Real‑time perception — multi‑camera, radar, Lidar, sensor fusion, autonomous systems
• GPU acceleration — CUDA kernels, memory optimization, parallelization
• System integration — robotics, industrial AI, medical devices, commercial UAVs

C • C++ • Python

TensorRT • CUDA • ONNX Runtime • Jetson • Orin • RKNN • Hailo • DeepX • ARM SoCs • Embedded Linux

PyTorch • TensorFlow • scikit‑learn • vLLM • DeepSpeed • LoRA • Quantization • Model Compression

Docker • Git • GitLab CI • ROS/ROS2 • Anaconda • Ubuntu • NVIDIA Nsight • OpenCV • IPG CarMaker • MATLAB/Simulink

NVIDIA Jetson (Nano/Xavier/Orin) • DRIVE platforms • RKNN • Hailo NPU • Raspberry Pi • Custom SoCs

I am developing deep expertise in AI inference and edge computing, with a focus on enabling high‑performance, real‑time AI on embedded hardware.

I work on real‑world AI systems across:

• Autonomous systems and intelligent mobility
• Robotics and industrial automation
• Medical imaging and smart healthcare devices
• Smart cameras and vision systems
• Commercial UAVs and intelligent edge platforms

My mission is to make AI models run efficiently, reliably, and safely on any hardware platform.