Art Jiang

Software Engineer

Sunnyvale, California, United States7 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

7+ years in computer vision and ML inference.
Expert in real-time 4K video processing.
Published researcher in surgical video datasets.

Stackforce AI infers this person is a Healthcare-focused Software Engineer specializing in computer vision and machine learning.

Contact

fengyi.arthur@gmail.com LinkedIn

Skills

Core Skills

Computer VisionGpu ProgrammingMachine LearningSoftware Development

Other Skills

CUDAC++PythonKerasDeep LearningMicrosoft AzureSnowflakeYoctoHoloscaniGXLow-latency streamingLatency reductionPyTorchTensorRTParallel Programming

About

To make the world a better place for all, one bit at a time. Software Engineer with a purpose. 7+ years in computer vision, ML inference, and GPU programming for edge deployment. Expert in high-performance imaging pipelines for safety-critical medical systems, specializing in real-time 4K video processing and depth estimation. Published researcher (MICCAI, CVPR) in surgical video datasets, video world foundation models, and 3D reconstruction. Proven track record delivering production systems on NVIDIA Jetson and cloud platforms across the full ML lifecycle.

Experience

7 yrs 4 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs 1 mo

Current Experience

Intuitive

3 roles

Senior Vision Software Engineer

Jan 2024 – Present · 2 yrs 5 mos · Hybrid

GPU-accelerated video pipeline on NVIDIA Orin AGX achieving ultra low end-to-end latency for 4K stereo surgical endoscopy with real-time depth estimation using NVIDIA IGX and Holoscan.
CUDA Kernel development & TensorRT optimization.
Offline privacy-centric, voice-enabled VLLM RAG system for real time usage on edge device.

CUDAC++Computer VisionGPU Programming

Senior Software Engineer

May 2022 – Mar 2024 · 1 yr 10 mos · Hybrid

Developed 4K stereo surgical endoscope prototype and real time video processing with Nvidia Jetson Orin, JetPack, integrated with Da Vinci 5 & Xi for in vivo clinical evaluation.
Led SurgiSR4K dataset development for super-resolution research (MICCAI 2025)
Developed next-gen camera - sensor bring-up and ISP; Downstream pipeline on pattern recognition, surface angle measurement, real-time depth estimation.
Yocto OS and BSP development.

CUDAPythonComputer VisionMachine Learning

Software Engineer Intern - Vision

May 2021 – Oct 2021 · 5 mos · Sunnyvale, California, United States

Implemented vectorization/embeddings algorithm for streaming log, implemented pipeline with
Airflow for Anomaly Detection.Developed Flask, Dash based data platform for failure analysis and reliability.

KerasDeep LearningMachine Learning

Fresenius group

2 roles

Software Engineer - Global R&D

Oct 2017 – Aug 2020 · 2 yrs 10 mos · San Francisco Bay Area · Hybrid

Software Design and Optimization:
Engineered robust software to ensure device safety and operational efficiency. Played a pivotal role in future-proofing product lines through scalable and maintainable software designs.
Infrastructure and Platform Tool Development:
Designed and implemented a suite of tools for infrastructure support, including: Cloud-based tools for R&D collaboration across global facilities. Building infrastructure for data pipeline on post market monitoring tools for real time data analytics. Compilers to optimize code for various platforms.

Microsoft AzureSnowflakeSoftware Development

Research Intern

Oct 2016 – Jun 2017 · 8 mos · Rochester, New York Area

Carry out research for Fresenius 2008T hemodialyzer and design simulator that could simulate blood flow, blood pressure, temperature, hematocrit of a patient.

Chinese academy of sciences

Research Assistant

May 2017 – Oct 2017 · 5 mos · Shanghai City, China

Under Richard A Lerner, Bill Jiang Antibody Design Lab.
Carried out research under Yifeng Yang, Ph, D. and Jia Liu, Ph, D. on Manufacturing and delivering genome-editing proteins.