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Sr. Systems Performance Engineer Resume

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San Diego, CA

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SUMMARY:

  • Developed an interactive web page (HTML/CSS/JavaScript/AJAX/jQuery) to utilize personalization to improve event search, update preference and provide recommendation.
  • Created Java servlets with RESTful APIs to handle HTTP requests and responses.
  • Built relational database (MySQL) to store user preference and event data from TicketMaster API.
  • Designed content - based recommendation algorithms.
  • Tested the web service and App with unit tests (JUnit) and load tests (JMeter).
  • Deployed server to Amazon EC2.
  • Built an interactive blog with React, Node and Express.
  • Implemented the front end with React Component, React Router and React Hooks to allow users to view, upvote and leave comments for articles.
  • Used NoSQL database (MongoDB) to store information of users and articles.
  • Deployed server to Amazon EC2.
  • Built a web service in Go, to handle posts and deployed to Google Cloud (GAE flex) for better scaling.
  • Utilized ElasticSearch (GCE) to provide location-based search functions such that users can search nearby posts within a distance.
  • Utilized Google Dataflow to implement a daily dump of posts to BigQuery table for offline analysis.
  • Aggregated the data at the post level and user level to improve the keyword-based spam detection.
  • Built a web application using Python, Django, HTML, CSS, JavaScript, AJAX and jQuery.
  • Designed information flow diagram and enhanced entity-relationship diagram according to customer's requests and business logic constraints.
  • Utilized MySQL to store data of user and vehicle information, sales, repair history, etc.
  • Implemented functions for users to log in, search, process sales, schedule repairs, generate reports, etc.
  • Created SQL queries for core functions.
  • Developed an Android App for sharing and practicing vocabulary quizzes.
  • Lead a 4-person team to contribute to the full software development lifecycle, from planning, requirement gathering, implementation and testing.
  • Wrote project plan, technical specifications, test plan and user manual. Maintained all reports pertaining to the application development process.
  • Implemented functions for uses to register, log in, add/delete/practice quiz, view statistics, etc.
  • Performed testing on physical device and the android emulator.

SKILLS:

Languages: Java, Python, Go, C/C++, HTML, CSS, JavaScript, SQL, Shell, Spark, Pig, JSON/XML, MATLAB

Frameworks / Tools: Apache Tomcat, React, Node, Express, Django, AJAX, jQuery, D3, Android, RESTful, MySQL, MongoDB, SQLite, JUnit, JMeter, Git/Github, Amazon EC2, Google Cloud, ElasticSearch, BigTable, BigQuery, Dataflow, Azure Machine Learning Studio, Gephi, OpenRefine, Tableau, Spotfire, Hadoop, Eclipse, IntelliJ, PyCharm, WebStorm, GoLand, Android Studio

WORK EXPERIENCE:

Sr. Systems Performance Engineer

Confidential, San Diego, CA

Responsibilities:

  • Worked in the performance and integration team, be responsible for design, verification, benchmark and troubleshooting of EUV products.
  • Performed statistics and data analysis to monitor system performance and locate root-causes of performance degradation.
  • Developed software tools to analyze and visualize large-scale data sets and provide critical insights on products performance.
  • Applied machine learning methods on high-dimensional, large data sets, successfully categorized defect signatures and identified root-causes for critical problems of products.
  • Played as the Technical Lead of champion systems and demonstrated product availability.

Graduate Research Assistant

Confidential

Responsibilities:

  • Researched on nanoscale biosensor fabrication and on-chip optical microfluidic single molecule detection.
  • Designed, optimized and characterized the optical microfluidic chip.
  • Developed a measurement system to detect weak fluorescence signals and weak electrical signals.
  • Analyzed large optical and electrical data in Python and MATLAB.
  • First demonstration of on-chip correlated opto-electrical detection of single nanoparticles, viruses and DNA on a nanopore-integrated optical microfluidic chip.
  • Published 15 research papers on topics regarding nanoscale fabrication and on-chip optical microfluidic single molecule detection in top-tier conferences and journals.

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