Pengrui Huang, Developer in Shanghai, China
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Pengrui Huang

Verified Expert  in Engineering

Data Engineer and Developer

Shanghai, China
Toptal Member Since
September 5, 2022

Pengrui is a data engineer with over six years of experience. He is also a full-stack software engineer working remotely with English-speaking team members. He specializes in hedge funds, builds data platforms for quantitative trading, and leads projects in different environments and languages. Pengrui joined Toptal because he enjoys freelancing and wants to work on the best projects.


Hangzhou Kunteng Technology
R, Python, Java, SQL, Docker, Apache Kafka, C++, PostgreSQL, Scala...
Zhejiang Yingmai Asset Management
Python, R, C++, SQL Server 2014, ETL, SQL, Apache Airflow, Flask, Redis...
Hangzhou Fenghe Asset Management
R, Python, SQL, Microsoft SQL Server, Data Pipelines, Data Scraping...




Preferred Environment

R, Python, Java, SQL, RStudio, Linux, Git, IntelliJ IDEA, Docker

The most amazing...

...project I've built is a software that runs automated trading 24/7 with dozens of quantitative models, managing a multimillion-dollar asset.

Work Experience


2020 - PRESENT
Hangzhou Kunteng Technology
  • Engineered a real-time ETL system processing data from several cryptocurrency exchanges. Features included failed job recovery, progress monitoring, dynamic job generation, and data sharing among jobs.
  • Created a readable, expressive R-based internal DSL, which unified quantitative factor syntax, improving the productivity of researchers.
  • Built a quantitative strategy management system using parallelism and caching, enabling the quantitative strategies to be studied and used for trading directly.
  • Designed interfaces and protocols among sub-systems running 24/7 with dozens of quantitative models, which resulted in robust performance.
  • Assembled an automated trading system and deployed it on AWS.
  • Introduced algorithmic trading that optimized order execution, saving an estimated $1.5 million per year compared to placing market orders.
  • Created applications for a trading platform, including web-based admin interfaces, error alerts, position deviation tracking, order execution tracking, and trading collation.
Technologies: R, Python, Java, SQL, Docker, Apache Kafka, C++, PostgreSQL, Scala, RStudio Shiny, Prometheus, Grafana, Akka, Linux, Amazon Web Services (AWS), Spring, REST APIs, Data Engineering, NGINX, Microservices, Docker Compose, Git, Data Architecture, API Development, Algorithmic Trading, Quantitative Research, Algorithmic Trading Analysis, Cryptocurrency

Senior Quantitative Developer

2018 - 2020
Zhejiang Yingmai Asset Management
  • Developed automatic trading software based on the CTP interface of the futures exchanges. It included daily order placement, intraday account monitoring, and after-hours data analysis.
  • Created a research platform to automate and standardize quantitative strategy development and production lifecycle.
  • Automated PDF generation using R Markdown and ggplot2 to obtain data pipeline status, account reports, and strategy backtesting reports.
  • Created an interactive web-based dashboard with, including a real-time profit chart and market indicator chart.
  • Built a real-time trading signal pushing app with GUI interface in C#.
Technologies: Python, R, C++, SQL Server 2014, ETL, SQL, Apache Airflow, Flask, Redis, Data Pipelines, Bash, MongoDB, NumPy, Back-end, RStudio Shiny, Plotly, C#, API Development, Data Engineering, Git, Data Architecture, PostgreSQL, Algorithmic Trading, Quantitative Research, Algorithmic Trading Analysis

Quantitative Researcher

2016 - 2018
Hangzhou Fenghe Asset Management
  • Established a data pipeline consisting of data collection, data cleaning and storage, script scheduling, monitoring, and alarms.
  • Developed an expression-based calculation framework and used it to search for short-term volume price indicators in the China stock market.
  • Researched and traded CTA and alternative data strategies in the market in China.
Technologies: R, Python, SQL, Microsoft SQL Server, Data Pipelines, Data Scraping, Quantitative Finance, Windows PowerShell, RStudio Shiny, RStudio, Plotly, Pandas, Git, Algorithmic Trading, Quantitative Research

Automated Trading System for Cryptocurrency Market

The project aims to run quantitative models to predict the cryptocurrency market and automated trading with robust performance.

I led two engineers in building the trading system from scratch. As the technical lead, I oversaw designing and building key components, including a workflow schedule framework and data pipelines running on it, a strategy management system, a web-based dashboard, an algorithmic trading module, and integrations of various components by designing interfaces and protocols.
2012 - 2016

Bachelor's Degree in Physics

University of Science and Technology of China - Hefei, China


API Development, REST APIs, Pandas, NumPy


Grafana, Apache Airflow, PyCharm, Git, NGINX, Docker Compose, Plotly, IntelliJ IDEA


RStudio Shiny, Akka, Spring, Flask, Windows PowerShell


Quantitative Research, ETL, Microservices, Unit Testing, Functional Programming, Object-oriented Design (OOD)


R, Python, Java, SQL, C++, Scala, C#, Bash


Linux, Docker, Apache Kafka, Amazon Web Services (AWS), RStudio


PostgreSQL, Data Pipelines, SQL Server 2014, Microsoft SQL Server, Redis, MongoDB


Data Visualization, Quantitative Finance, Data Architecture, Algorithmic Trading, Algorithmic Trading Analysis, Cryptocurrency, Prometheus, Data Engineering, Data Scraping, Back-end, Data Warehousing

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