Yigong Wang
Team Lead at Bloomberg
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYigong Wang is a seasoned software engineer and team lead based in New York with 13 years of experience building web and system-focused products for finance and enterprise customers. Currently leading engineering at Bloomberg after six years on their Execution Management System, he brings hands-on expertise in front-end frameworks (JS/Angular), backend services (Node.js, C++), and performance-driven refactors from prior roles at FactSet and elsewhere. An active open-source contributor, he has enhanced the Hy Lisp-on-Python project—improving REPL, CLI, parsing and error handling—which reflects a keen attention to developer experience and tooling. His background blends deep academic training in computer science and electrical engineering with practical experience shipping complex visualization and simulation systems, a less obvious bridge that informs his systems-thinking approach to UI and backend design.
13 years of coding experience
11 years of employment as a software developer
Master of Engineering (M.Eng.) Electrical Engineering, Master of Engineering (M.Eng.) Electrical Engineering at Northeast China Institute of Electric Power EngineeringMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Stony Brook University
French, English, Chinese
Github Skills (10)
compiler10
command-line-interface10
compiler-compiler10
python10
hy10
lisp10
metaprogramming9
macros9
lexical-analysis9
testing8
Programming languages (7)
Github contributions (5)
hylang/hy
Mar 2018 - Apr 2018
A dialect of Lisp that's embedded in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 10 PRs, 45 comments in 9 days
Contributions summary:Yigong primarily contributed to the Hy programming language's core functionality and command-line interface. Their work included adding features to the REPL, enhancing the command-line interface, and fixing issues related to string handling and environment variable management. They also modified documentation and tests, demonstrating a focus on improving the user experience and the reliability of the Hy interpreter. Furthermore, the user updated the lexer/parser to improve error handling.
macrospythondialectmetaprogrammingcompiler
waigx/aurora_core
Dec 2017 - Mar 2020
A Python Library Controls Nanoleaf Light Panels (formerly Aurora)
Contributions:1 PR, 20 pushes, 1 branch in 2 years 4 months
python-libraryaurorapythonttklight
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