Nicole Han

Software Engineer

San Francisco, California, United States6 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Experienced in full-stack development with Java and React.
  • Proficient in cloud technologies like AWS and Kubernetes.
  • Strong background in data analytics and visualization.
Stackforce AI infers this person is a Fullstack Software Engineer with expertise in Cloud Computing and Data Analytics.

Contact

Skills

Core Skills

PhpSqlPythonAmazon Web Services (aws)JavaReact.js

Other Skills

JavaScriptAndroidGraphQLApache ThriftTypeScriptKubernetesdockerBashREST APIsVMware vSphereJenkinsCRC++MySQL

About

software engineer@Meta graduate@USC [computer science] undergraduate@BUPT [e-commerce engineering]

Experience

6 yrs 9 mos
Total Experience
2 yrs 3 mos
Average Tenure
4 yrs 4 mos
Current Experience

Meta

Software Engineer

Dec 2021Present · 4 yrs 4 mos · Menlo Park, California, United States

PHPSQL

Vmware

Software Engineer

Jul 2020Dec 2021 · 1 yr 5 mos · Palo Alto, California, United States

  • Software engineer of TKG (Tanzu Kubernetes Grid) Networking team
  • Working on Tanzu Kubernetes Grid (TKG) and upstream open-source Kubernetes vSphere/AWS Cloud Provider
PythonAmazon Web Services (AWS)

Airbnb

Software Engineer

Jul 2019Jul 2020 · 1 yr · San Francisco Bay Area

  • Full-stack software engineer of Guest Store - PDP team, worked on Java backend and React frontend of product detail page (PDP) to increase global bookings on Airbnb.
JavaReact.js

Zillow

Software Development Engineer Intern

May 2018Aug 2018 · 3 mos · Greater Seattle Area · On-site

  • SDE Intern at Mobile Team (Android Shopping), worked on building a personalized Android map design on Zillow app home screen that highlights recommended homes.
JavaSQL

The university of hong kong

Summer Research Intern

Jul 2016Sep 2016 · 2 mos · Hong Kong SAR

  • 1. Extracted student text data to examine learning profiles with analytics and to visualize learning characteristics, which can be linked to corresponding emotional states.
  • 2. Independently created and honed a 6-class SVM model based on the 16-million multidimensional training data; the model has RMSE 0.97 and runtime less than 8 seconds on a two-million testing dataset.
  • 3. Experimented in deep learning to perform handwriting analysis including pattern recognition on words and shapes, which aims to help teachers to adjust teaching strategy.

Education

University of Southern California

Master of Science - MS — Computer Science

Jan 2017Jan 2019

Queen Mary University of London

Bachelor of Engineering - BE — E-Commerce/Electronic Commerce

Jan 2013Jan 2017

Beijing University of Posts and Telecommunications

Bachelor's Degree — E-Commerce Engineering

Jan 2013Jan 2017

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