Yakun Wang

Software Engineer

San Jose, California, United States6 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Distributed Systems and Data Management.
  • Proven success in high-dimensional data analysis.
  • Strong background in machine learning applications.
Stackforce AI infers this person is a skilled Software Engineer with expertise in Data Management and Distributed Systems.

Contact

Skills

Core Skills

Distributed SystemsData ManagementData Analysis

Other Skills

JavaGo (Programming Language)Data ModelingRC++Python

Experience

6 yrs 10 mos
Total Experience
1 yr 2 mos
Average Tenure
3 yrs
Current Experience

Netflix

Software Engineer

Apr 2023Present · 3 yrs · Los Gatos, California, United States

  • Online Datastore team
JavaGo (Programming Language)Distributed SystemsData ManagementData Modeling

Google

Software Engineer

Jun 2020Apr 2023 · 2 yrs 10 mos · Mountain View, California, United States

JavaGo (Programming Language)Distributed SystemsData ManagementData Modeling

Jpmorgan chase & co.

Machine Learning Summer Associate

May 2019Aug 2019 · 3 mos · Greater New York City Area

  • 1. Performed tree-lasso guided high dimensional multi-response regression to find driving instruments for groups with 100k instruments using only 1-year training data
  • 2. The R-Squared scores between the production book-level 10-year VPLs and that computed from the selected instrument sets are higher than 0.99; Overall selection ratio is 51%
  • 3. Already put into production and proved to be successful on multiple lines of business
RData Analysis

Weibo research center

Machine Learning Engineering Internship

Jun 2018Aug 2018 · 2 mos · Beijing City, China

  • 1. Conducted semi-supervised learning to generate training sets for labeling the users with interested categories with tens of millions of tweets in hot lists and a small golden truth list.
  • 2. Filtered abnormal users with deliberately used wrong hashtags at the end of their tweets.
  • 3. Extracted features to help replace the previous manually life cycle decision systems of pushed hot tweets with machine learning based ones.

Didi

Data Science Internship

Oct 2017Jan 2018 · 3 mos · Beijing City, China

  • 1. Statistically analyzed major characters influenced the performance of more than 1,300 Didi Partners across China and designed Certification Standards for them.
  • 2. Performed clustering and outlier detection algorithms to analyze abnormal increasing of drivers.

Amazon

Business Analysis Summer Internship

Jun 2017Sep 2017 · 3 mos · Beijing City, China

  • 1. Performed imbalanced and supervised machine learning modeling on customer complaints with about 1.5 million records of orders and only 0.02% complaint rate.
  • 2. Synthesized random under sampling, SMOTE, easy ensemble and random forest methods to build efficient, robust and explainable model after multi-dimensional attempts; final AUC is 0.80.
  • 3. Effectively explained the model and provided detailed suggestions to the operation team, which won appreciation from all operation managers related.

Tsinghua university

Research Assistant

Apr 2017Oct 2017 · 6 mos · Beijing City, China

  • Publication: Wang, S., Li, Y. F., & Wang, Y. K. (2018). Hybrid Uncertainty Model for Multi-State Systems and Linear Programming based Approximations for Reliability Assessment. IISE Transactions, DOI: 10.1080/24725854.2018.1468123.
  • Adjusted dynamic reliability approximation for reliability bounds of multi-state systems with hybrid uncertainty via dual relaxation, achieving relative error less than 1e-13.
  • Pointed out the inaccuracies of results for classical three-element transmission system, rewrote the programs and redesigned the case study to show clear convergence of the algorithm and extend its application to far more complicated systems.
  • Conducted systematical experiments to compare our methods to nonlinear approaches to demonstrate the advantage of the Approximation Algorithm.

Education

New York University

Master of Science - MS — Data Science

Jan 2018Jan 2020

Tsinghua University

Bachelor of Engineering - BE — Industrial Engineering

Jan 2014Jan 2018

Tsinghua University

Bechelor of Science - BS — Psychology

Jan 2014Jan 2018

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