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Shanglun Wang

Shanglun Wang

New York, NY, United States
Member since April 1, 2016
Sean is a passionate polyglot developer with extensive experience in full-stack web development, system administration, and data science. He is capable of working in both Linux and Windows environments and has developed everything from machinery interface to market intelligence software. Sean is also an excellent communicator and spends his spare time coaching speech and debate.
Shanglun is now available for hire
  • C, 6 years
  • Python, 6 years
  • C++, 6 years
  • Node.js, 4 years
  • MySQL/MariaDB, 4 years
  • Flask, 3 years
  • SQLAlchemy, 3 years
New York, NY, United States
Preferred Environment
Linux, Windows, PyCharm, Visual Studio, Vim
The most amazing...
...piece of software that I've developed can decode news articles written in Chinese and decipher market intelligence for an English-speaking audience.
  • Software Developer
    2017 - PRESENT
    • Wrote second generation portfolio compression algorithms using Python and Pandas.
    • Developed web applications using Meteor and React.js to facilitate client engagement.
    Technologies: Python, Pandas, Meteor, React.js, C#
  • Full-stack Software Developer
    CB Insights
    2016 - 2017
    • Developed market intelligence software using Java and Python natural language processing technology that allowed investment information to be extracted from Chinese news sources.
    • Managed and developed a data ingestion system for funding and company valuation data—including monitoring, reporting, and load-balancing systems.
    • Designed, developed, and maintained client-facing React.js web applications to manage and display data on the CB Insights platform.
    • Built microservices based on Node.js,, Thrift, and Docker to improve system reliability and internal API consistency.
    • Built and created custom email-tracking software to improve targeted email marketing and outreach.
    • Developed and maintained Go REST APIs to power the main data visualization and management platform.
    Technologies: Python, Go, React.js, Node.js,, Thrift, Java, Stanford NLP
  • Software Developer
    Digital Vision, Inc.
    2013 - 2016
    • Conceived and developed a software suite to monitor and analyze breakage statistics and inspection results in optical manufacturing laboratories which helped bring breakage rates to industry record lows.
    • Worked with outside software vendors to developed and maintain XML endpoints for integration with third-party products.
    • Managed CentOS/RHEL data server running LVM and ZFS and developed data monitoring software using Python, PHP, MySQL, and JavaScript.
    • Developed a suite of GUI and command-line applications to manage inventory and automate monthly and replenishment ordering of optical lenses.
    • Provided onsite support and trained customers to in order to improve customer effectiveness in using the software system.
    Technologies: C, C++, C#, PHP, MySQL, Python, JavaScript
  • Mixed-integer Programming: A Guide to Computational Decision-making (Publication)
    Mixed-integer programming is one of the many ways you can automate and enhance your decision-making processes. In this article, Toptal Freelance Software Engineer Shanglun Wang explores the power of operations research by walking through a hypothetical problem and shows how mixed-integer programming can be used to solve it.
  • How to Build an Email Sentiment Analysis Bot: An NLP Tutorial (Publication)
    Build a bot that analyzes the sentiment of incoming email messages using Recursive Neural Tensor Networks from the Stanford NLP library.
  • How to Build a Natural Language Processing App (Publication)
    Natural language is increasingly becoming a viable way of interacting with smart software. Google search, Apple’s Siri, Microsoft’s Cortana, etc. are all capable of understanding queries in natural language. In this article, Toptal Freelance Software Engineer Shanglun (Sean) Wang walks us through some useful concepts and techniques in natural language processing and shows how they can be used to build a simple NLP app.
  • Languages
    C#, Java, JavaScript, C, C++, Go, Python, Clojure
  • Frameworks
    Flask, Apache Thrift, ASP.NET
  • Libraries/APIs
    Flask-RESTful, SQLAlchemy, React.js, Stanford NLP, Node.js, WebSockets, Chai, Lodash
  • Tools
    Stanford NER, JIRA, Mocha, PhantomJS
  • Platforms
    Linux, Windows, Amazon Web Services (AWS), Meteor
  • Storage
    MySQL, MongoDB, Microsoft SQL Server, MySQL/MariaDB
  • Misc
    Natural Language Processing (NLP), Mixed Integer Linear Programming, HTML Parsing (Cheerio), Operations Research, Offensive Security
  • Paradigms
    Agile Software Development
  • Bachelor's degree in Economics/Math
    Whitman College - Walla Walla, WA, USA
    2009 - 2013
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