Vincent Ying

Robotics Engineer

Vincent Ying

About Me

Hi, I’m a software engineer interested in anything AI & ML related. I have recent experience working with Airflow and standing up data and model update pipelines. Have also taken various courses at Stanford and earned a few graduate certificates along the way.

Languages

English (Native)
Mandarin (Intermediate)
Hindi (Basic)

Hobbies

Calisthenics
Walking
Knitting

Experiences

Software Engineer, ML

DefenseStorm, Seattle · 2021 - 2022

  • Established Airflow orchestration for updating machine learning models and periodic tasks
  • Created daily model updates for similarity recommendations with Airflow and Docker
  • Simplified alert and trigger management to assist in alert triage and incident response

Software Engineer

Check Point Software Technologies, San Carlos · 2010 - 2017

  • Adapted network namespaces in Linux cgroups for use in acceleration layer virtualization
  • Virtualized software acceleration layer for the security appliance
  • Authored OS configuration pages for network management protocols (SNMP, VRRP, IGMP, PIM)


Education

Masters in Robotics and Automation

Santa Clara University · 2023 - 2025

Masters in Computer Engineering

Santa Clara University · 2017 - 2020

Databases Graduate Certificate

Stanford · 2020 - 2021

Artificial Intelligence Graduate Certificate

Stanford · 2018 - 2019

Thesis: Attention on Attention, Architectures for Visual Question Answering (VQA)

Mining Massive Datasets Graduate Certificate

Stanford · 2016 - 2017

Data Mining and Applications Graduate Certificate

Stanford · 2015 - 2016


Projects

Fast Fashion Recognition

Streaming image classification with Inception Neural Network using Kafka, Spark, and Cassandra

Network Anomaly Detection with GCNs and GATs

Graph Convolutional Networks and Graph Attention Networks to detect fake Twitter users

Pix2Code

Automatic Code Generation from UI Screenshots

Attention on Attention

Attention Architectures for Visual Question Answering (VQA)

Bitcoin Trust Networks

Network Analysis of Weighted, Signed Bitcoin Networks

Deep Q-Learning with RNNs

Attention Mechanisms in DQN/DRQNs for Atari Games


Skills

Python

C

Java

Javascript