Yipei Wang

NLP Engineer

https://www.opentalent.in/yipei-wang

Software Engineer at Google

Google

Key Strengths

Extensive experience in Machine Learning and Deep Learning, particularly in recommendation systems and ad monetization at Google.
Strong background in distributed machine learning platforms and optimization techniques.
Proven ability to lead cross-functional projects and mentor colleagues.
Academic background from top-tier institutions (CMU, Tsinghua) with a Master's in Computer Science (Machine Learning).
Experience with NLP-related projects (e.g., user engaged conversational agents, semantic concept extraction) aligns with the target NLP Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse experience across large tech companies (Google, Microsoft), a startup (Particle Media), and academic research (CMU) indicates adaptability to various organizational cultures. Their involvement in projects with significant business impact (e.g., revenue growth, CPU usage reduction) suggests a results-oriented mindset. The academic background and continuous learning (Udacity NanoDegree) show a commitment to staying current with technology.

Soft Skills & Operational Fit

The candidate demonstrates leadership through leading cross-team efforts and mentoring. Experience in early-stage startup (Particle Media) suggests adaptability and ability to work in dynamic environments. The description of projects at Google indicates strong problem-solving and impact-driven work.

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About

Experienced senior software engineer with machine learning expertise. Graduate from Carnegie Mellon University with master degree in AI. I'm passionate to apply machine learning technologies to improve production quality and has been working on improving Ads quality in google for 5+ years.

Top Skills

Machine LearningPythonC++Computer ScienceArtificial IntelligenceData MiningSignal ProcessingNlpOptimizationDistributed SystemsSparkmapreduceApache PighiveMysqlMongoDBApache KafkaBig DataGitStatistical ModelingPattern RecognitionHadoop

Education

Udacity

Deep Learning NanoDegree

January 1, 2020 – January 1, 2020

Carnegie Mellon University

Master's degree, Computer Science (Machine Learning)

January 1, 2015 – Present

Tsinghua University

Bachelor of Engineering (B.E.), Electrical Engineering

January 1, 2012 – Present

Experience

Google

Software Engineer

November 1, 2016 – Present

mountain view

Particle Media, Inc.

Machine Learning Scientist

September 1, 2015 – October 1, 2016

Santa Clara

Carnegie Mellon University

Teaching Assistant

September 1, 2014 – May 1, 2015

Carnegie Mellon University

Research Assistant

September 1, 2012 – July 1, 2015

Microsoft

Research Intern

February 1, 2012 – July 1, 2012

Beijing City, China

Key Strengths

Extensive experience in Machine Learning and Deep Learning, particularly in recommendation systems and ad monetization at Google.
Strong background in distributed machine learning platforms and optimization techniques.
Proven ability to lead cross-functional projects and mentor colleagues.
Academic background from top-tier institutions (CMU, Tsinghua) with a Master's in Computer Science (Machine Learning).
Experience with NLP-related projects (e.g., user engaged conversational agents, semantic concept extraction) aligns with the target NLP Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit