Andrew Kim

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Summary

🤩

Rockstar

Andrew Kim is a Software Development Engineer II based in New York with eight years of experience building reliable back-end systems and production web applications. A Northwestern CS x Econ alumnus who grew up between Seoul and Michigan, he combines strong algorithmic thinking with practical full-stack experience from roles at Amazon, Capital One, and university web teams. He has hands-on expertise in trading systems—contributing mean-reversion and long-short strategies to well-known Alpaca client libraries in both Node.js and Python—and brings proven skills in performance optimization, error handling, and async execution. Comfortable across React/Redux, Node, Python, and cloud-scale services, he focuses on shipping robust, maintainable code that bridges data pipelines and real-time execution.

8 years of coding experience

Github Skills (15)

apim10

javascript10

nodejs10

threaded10

api10

tradingview10

thread10

hyper-threading10

python10

multithreading10

trading10

algorithmic-trading10

salesforce-rest-api9

rest-api9

error-handling9

Programming languages (5)

JavaJavaScriptGoHTMLPython

Github contributions (5)

alpacahq/alpaca-trade-api-js

Jul 2019 - Sep 2019

Node.js library for Alpaca Trade API.

Role in this project:

Back-end Developer

Contributions:45 commits, 5 PRs, 33 pushes in 2 months

Contributions summary:Andrew primarily contributed to the development of a mean-reversion trading bot, demonstrating expertise in algorithmic trading strategies. They implemented and refined a mean-reversion algorithm, including market open/close logic, position management, and order execution using a Node.js library for the Alpaca Trade API. Their work involved optimizing performance, improving error handling, and implementing rebalancing logic.

apistock-tradingjs-libraryalpaca-trade-apinode-js

alpacahq/alpaca-trade-api-python

Jul 2019 - Sep 2019

Python client for Alpaca's trade API

Role in this project:

Back-end Developer

Contributions:17 commits, 2 PRs, 11 pushes in 2 months

Contributions summary:Andrew contributed significantly to an example file within the repository, implementing a long-short equity trading strategy. This included writing Python code utilizing the `alpaca_trade_api` to interact with the Alpaca trading platform. The code involves threading for asynchronous tasks, and the user made multiple iterations to correct and refine the script, indicating an active role in the strategy's development.

apistock-marketpythonautomated-tradingalgorithmic-trading

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