Chris Park
Founder & CTO at Diskover Data, Inc.
Victoria, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolChris Park is Founder & CTO of Diskover Data, the architect and lead engineer behind an open-source file indexing and data-management platform powered by Elasticsearch. With over a decade in Media & Entertainment infrastructure, he blends hands-on systems engineering—storage, networks, render farms, and virtualization—with backend Python development and automation. He has led multi-site builds and hardware migrations at scale (Isilon, Avere, NetApp) and built 300–1000+ node render infrastructures while reducing datacenter footprint through virtualization. Equally comfortable in the cloud (AWS, Azure) and on-prem, Chris contributes to Diskover Community and analytics projects that apply NLP and sentiment analysis to real-world datasets. Based in Victoria, BC, he pairs practical operational rigor with entrepreneurial product focus, often surfacing operational insights through custom scripting and observability integrations.
10 years of coding experience
9 years of employment as a software developer
British Columbia Institute of Technology (BCIT)
Github Skills (12)
sentiment-analysis10
elasticsearch10
elasticsearchquery10
filesystem10
aws-elasticsearch10
python10
natural-language-processing10
elasticsearch-api10
amazon-elasticsearch10
textblob9
nltk8
tweepy8
Programming languages (4)
Github contributions (5)
diskoverdata/diskover-community
Apr 2017 - Jan 2023
Diskover Community Edition - Open source file indexer, file search engine and data management and analytics powered by Elasticsearch
Role in this project:
Back-end Developer
Back-end DeveloperContributions:243 releases, 3 reviews, 1824 commits in 5 years 9 months
Contributions summary:Chris was actively involved in the development of the diskover-community project, contributing Python code to the project's core functionalities. They implemented and modified file system crawling logic, utilizing tools such as find and subprocess. The code changes also involved integrating Elasticsearch to facilitate file indexing and searching, demonstrating an understanding of storage and search technologies.
pythonfile-indexerweb-applicationdisk-space-analyzerdisk-space
shirosaidev/stocksight
Sep 2017 - Mar 2022
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Role in this project:Back-end Developer
Back-end DeveloperContributions:18 releases, 189 commits, 3 PRs in 4 years 6 months
Contributions summary:Chris primarily contributed to the backend of the stock market analyzer and predictor. Their work involved modifying the `sentiment.py` and `stockprice.py` files, likely to enhance the sentiment analysis capabilities using various techniques and to improve data retrieval from Yahoo Finance. The commits show the user focused on refining data processing, including cleaning text, integrating sentiment analysis from external sources, and integrating with Elasticsearch to store results. They also made updates to handle potential errors and improve data integrity.
pythontwitter-sentiment-analysislanguage-processingstock-analysisstock-price-prediction
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