Bolo Peng
Vice President Quantitative Strategist In Alternative Investment
Atlanta, Georgia, United States
Summary
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Rockstar🎓
Top SchoolBolo Peng is a Vice President Quantitative Strategist at Goldman Sachs with seven years of experience turning messy market data into research-ready signals and production-ready models. He blends a strong ML and data-engineering background—from building NLP pipelines and CRF/fastText classifiers to contributing core tensor operations in .NET—with hands-on quant strategy work in alternative investments. Prior roles at BlackRock and SMS Assist sharpened his ability to move models from research to deployment, while his open-source contributions to SciSharp projects (TensorFlow.NET, NumSharp, BotSharp) show deep practical knowledge of numerical computing and .NET-based ML tooling. Trained in EE (Harbin Institute of Technology) and computer science (Illinois Institute of Technology), he pairs rigorous engineering fundamentals with a knack for pragmatic feature engineering that uncovers subtle predictive signals in noisy financial data.
8 years of coding experience
5 years of employment as a software developer
Master of Computer Science, Computer Science, Master of Computer Science, Computer Science at Illinois Institute of TechnologyBachelor of Engineering (BE), EE, Bachelor of Engineering (BE), EE at Harbin Institute of Technology
Chinese, English
Stackoverflow
1reputation
0reached
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Github Skills (22)
named-entity-extraction10
named-entity-recognition10
entity-extraction10
net10
machine-learning10
dotnet10
ndarray10
data-structure10
numpy10
asp-net10
tensorflow10
natural-language-processing10
dotnet-core10
data-structures10
nlp10
Programming languages (1)
Github contributions (5)
SciSharp/NumSharp
Oct 2018 - Jun 2019
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 10 PRs, 2 comments in 7 months
Contributions summary:Bolo primarily contributed to the `numsharp` repository, which focuses on high-performance computation for N-D tensors in .NET, by implementing and fixing several core features. They added a mean function for the `NdArray` data structure, fixed a bug related to scalar dot product operations, and resolved an issue related to indexing within the `NDStorage` class. Furthermore, the user implemented constructors and methods like `meshgrid`, `broadcast_arrays`, `vstack`, and `hstack`, expanding the library's functionality.
dotnetnumpymachine-learningnumsharppandas
SciSharp/BotSharp
Aug 2018 - Oct 2018
AI Multi-Agent Framework in .NET
Role in this project:ML Engineer
ML EngineerContributions:25 commits, 5 PRs, 10 pushes in 2 months
Contributions summary:Bolo's commits primarily focus on developing and integrating machine learning components within the .NET AI framework. They demonstrate the creation of a CRFsuite-based named entity recognition (NER) system, including feature engineering and model training. The user also worked on integrating a fasttext classifier for text classification and initiated the integration of a SVM classifier. The contributions suggest a focus on building NLP pipelines.
aidotnetmulti-agentchatbotai-agent
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