Tim Fliss
Software Development Engineer at TFliss
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTim Fliss is a Software Development Engineer with 14 years of experience building scalable, cloud-native data services that integrate linked data, ontologies, and knowledge graphs for Fortune 100, scientific, and startup environments. He specializes in serverless large-dataframe processing and schema alignment, having designed AWS architectures and novel metadata catalogs that convert scientific metadata to RDF/JSON-LD and GraphQL APIs. At the Allen Institute he scaled multi-gigabyte spatial gene-expression pipelines, released open-source clients, and contributed to high-profile neuroscience publications, reflecting both production-grade engineering and scientific data expertise. A long-time semantic web practitioner and maintainer of projects like Turtle-in-HTML, he combines deep systems skills (from embedded systems to cloud) with pragmatic data modeling and ML-oriented pipeline work evident in his AllenSDK contributions. Based in Seattle, he blends hands-on coding, team mentoring, and a knack for practical standards work that quietly influences interoperability across projects.
13 years of coding experience
26 years of employment as a software developer
BSEE, BSCS, Computer Architecture, BSEE, BSCS, Computer Architecture at University of Wisconsin -- Madison
Github Skills (8)
pandas10
jupyter-notebook10
python10
data-analysis10
scikit-learn9
scikit9
scipy9
machine-learning8
Programming languages (5)
Github contributions (5)
AllenInstitute/AllenSDK
Jan 2015 - Jan 2018
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:675 commits, 16 PRs, 93 pushes in 2 years 11 months
Contributions summary:Tim's commits focused on enhancing the AllenSDK for the allensdk/allensdk repository by adding support for new experiment IPython notebooks, notably concerning mouse connectivity and ontology methods. The code changes involved adding methods for processing, analyzing, and visualizing data from Allen Institute for Brain Science experiments, indicating contributions toward data integration and analytical pipelines. Furthermore, the commits demonstrate the user's interest and focus on machine learning for building data pipelines.
brainneurosciencepythonscienceneuroimaging
tfliss/virtual_greenways
Jan 2016 - Oct 2018
Contributions:8 pushes, 2 branches in 2 years 9 months
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