Chip's Resume - Revision history

Chip: Add citations to publications

2024-06-05T14:28:14Z

Add citations to publications

← Older revision		Revision as of 14:28, 5 June 2024
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	Publications:		Publications:
	* "[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]" - Metabolomics		*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics (74 Citations)
	*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics		* "[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]" - Metabolomics (2 Citations)
	*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne		*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne (14 Citations)

	Certifications (recent only):		Certifications (recent only):

Chip: Add Snowflake Certification

2024-06-05T14:25:11Z

Add Snowflake Certification

← Older revision		Revision as of 14:25, 5 June 2024
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	*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics		*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics
	*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne		*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne

			Certifications (recent only):
			*[https://spnbadges.snowflake.com/07ae5b85-6e16-4b32-bf69-2ca31a98e41a Snowflake Technical Sales Pro]

	Experience:<br>		Experience:<br>

Chip: Update Manifold, add Reveal, add some URLs

2024-03-29T17:56:08Z

Update Manifold, add Reveal, add some URLs

← Older revision		Revision as of 17:56, 29 March 2024
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	Manifold AI, US (Remote)		[https://revealhealthtech.com/ Reveal HealthTech], US (Remote)
	Director, AI Solutions Labs (Mar. 2021 - ~~Present~~)		Director, AI Software Engineering (Mar. 2024 [Acquisition] - Present)
	*Moved a 40-person AI startup through a growth period doubling our size ~~(and counting)~~		*Led the migration of a 15 person engineering team through a startup acquisition
			*Focused on building engineering culture, excellence, and repeatable high value services delivery



			[https://www.manifold.ai/ Manifold AI], US (Remote)
			Director, AI Solutions Labs (Mar. 2021 - Mar. 2024)
			*Moved a 40-person AI startup through a growth period doubling our size before splitting into two entities
	*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits		*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits
	*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices		*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices
	*Architected and built software incorporating data engineering and machine learning techniques for a variety of ~~uses~~:		*Architected and led teams, and built software incorporating data engineering and machine learning techniques for a variety of clients and use cases:
	**PubMed database ML search tool to accelerate focused research		**Built a PubMed database AI/LLM Based search tool to accelerate focused research
	**Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data		**Worked with [https://www.broadinstitute.org/ The Broad Institute] on a Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data
	**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company		**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company [https://www.cisco.com/ Cisco]
	**~~Massive scale internet advertising~~ data management ~~pipelines~~ for analysis and machine learning		**Enginnered data management and feature engineering for for analysis and nanosecond scale machine learning feedback for [https://www.apple.com/ Apple's] $3.5B clickstream ad pipeline
	**Custom NLP Application for analytics of all natural language data coming into ~~a large pharmaceutical company~~: Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds		**Custom NLP Application for analytics of all natural language data coming into [https://www.gene.com/ Genetech/Roche Pharmaceuticals] : AI/RAG Chat and LLM Text Summarization, Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds
	**Growing our in-house "Science Cloud" application for research organizations to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML models into our "App Store".		**Growing our in-house "Science Cloud" application for research organizations (such as ACS and IU) to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML, AI, and LLM models into our "App Store".
	*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)		*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)


	Space Exploration Technologies (SpaceX) Hawthorne, CA		[https://www.spacex.com/ Space Exploration Technologies (SpaceX)] Hawthorne, CA
	Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)		Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)
	*Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system		*Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system

Chip: Add scale to Broad

2023-12-15T18:32:42Z

Add scale to Broad

← Older revision		Revision as of 18:32, 15 December 2023
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	*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:		*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:
	**PubMed database ML search tool to accelerate focused research		**PubMed database ML search tool to accelerate focused research
	**~~Bulk~~ life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data		**Petabyte life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data
	**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company		**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company
	**Massive scale internet advertising data management pipelines for analysis and machine learning		**Massive scale internet advertising data management pipelines for analysis and machine learning
	**Custom NLP Application for analytics of all natural language data coming into a large pharmaceutical company. Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds.		**Custom NLP Application for analytics of all natural language data coming into a large pharmaceutical company: Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds
	**Growing our in-house "Science Cloud" application for research organizations to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML models into our "App Store".		**Growing our in-house "Science Cloud" application for research organizations to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML models into our "App Store".
	*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)		*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)

Chip: Add Roche and Science Cloud

2023-10-04T14:32:15Z

Add Roche and Science Cloud

← Older revision		Revision as of 14:32, 4 October 2023
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	**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company		**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company
	**Massive scale internet advertising data management pipelines for analysis and machine learning		**Massive scale internet advertising data management pipelines for analysis and machine learning
			**Custom NLP Application for analytics of all natural language data coming into a large pharmaceutical company. Topic Modeling and Keyword Extraction, Semantic Search, Sentiment Analysis, Text Summarization, and the harmonization of dozens of data sources from clinical notes to twitter feeds.
			**Growing our in-house "Science Cloud" application for research organizations to manage and analyze data. Integrated NextFlow into our AWS architecture and helped integrate many ML models into our "App Store".
	*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)		*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)

Chip: Spacing

2022-05-04T16:43:21Z

Spacing

Chip: Thursday and Friday

2022-05-04T16:35:40Z

Thursday and Friday

← Older revision		Revision as of 16:35, 4 May 2022
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	**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company		**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company
	**Massive scale internet advertising data management pipelines for analysis and machine learning		**Massive scale internet advertising data management pipelines for analysis and machine learning
			*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)

	Space Exploration Technologies (SpaceX) Hawthorne, CA		Space Exploration Technologies (SpaceX) Hawthorne, CA

Chip: Add Manifold

2022-05-03T15:16:47Z

Add Manifold

← Older revision		Revision as of 15:16, 3 May 2022
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	Experience:<br>		Experience:<br>

			Manifold AI, US (Remote)
			Director, AI Solutions Labs (Mar. 2021 - Present)
			*Moved a 40-person AI startup through a growth period doubling our size (and counting)
			*Revamped recruiting, establishing processes for sourcing, interviewing, and hiring to transition from a referral-based company to one that actively recruits
			*Established and continually improved company wide, opinionated, repeatable processes for CI/CD, testing, rapid application development, code standards, documentation, ticketing hygiene, agile processes, DevOps standards, and other essential software development practices
			*Architected and built software incorporating data engineering and machine learning techniques for a variety of uses:
			**PubMed database ML search tool to accelerate focused research
			**Bulk life sciences data/metadata ingest and search tool for aligning ontological meaning across large volumes of clinical and research data
			**Predictive modeling tool to facilitate sales optimization for pricing sales for a large tech company
			**Massive scale internet advertising data management pipelines for analysis and machine learning

	Space Exploration Technologies (SpaceX) Hawthorne, CA		Space Exploration Technologies (SpaceX) Hawthorne, CA
	Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (2018 - ~~Present~~)		Sr. Data Scientist / Sr. Business Intelligence Engineer / Sr. Software Developer (Feb. 2018 - Mar. 2021)
	*Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system		*Led the "Build and Launch" DevOps squad to improve and support dozens of major SpaceX systems including a massive Telemetry and custom manufacturing / ERP system
	*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end		*Led the team responsible for our distributed automatic hardware testing system written in Python with a PostgreSQL/Redis back-end

Chip: Tweak some devops language to add specific tools

2021-12-21T01:25:50Z

Tweak some devops language to add specific tools

Chip: Add Metabolomics publication

2021-04-26T23:44:23Z

Add Metabolomics publication

← Older revision		Revision as of 23:44, 26 April 2021
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	Publications:		Publications:
			* "[https://pubmed.ncbi.nlm.nih.gov/33772663/ Discrepancies in metabolomic biomarker identification from patient-derived lung cancer revealed by combined variation in data pre-treatment and imputation methods]" - Metabolomics
	*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics		*"[https://www.ncbi.nlm.nih.gov/pubmed/29132615 Prediction of lung cancer patient survival via supervised machine learning classification techniques]" - International Journal of Medical Informatics
	*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne		*"[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598970/ Application of unsupervised analysis techniques to lung cancer patient data]" - PubMed / PlosOne

← Older revision		Revision as of 16:43, 4 May 2022
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	Experience:<br>		Experience:<br>


	Manifold AI, US (Remote)		Manifold AI, US (Remote)
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	**Massive scale internet advertising data management pipelines for analysis and machine learning		**Massive scale internet advertising data management pipelines for analysis and machine learning
	*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)		*Personally responsible for "No Meeting Thursdays" for focused work (which is really popular) and "Tie Dye Fridays" (which will really catch on some day, I'm sure)


	Space Exploration Technologies (SpaceX) Hawthorne, CA		Space Exploration Technologies (SpaceX) Hawthorne, CA
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	** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application		** Worked directly with Python developers to fix a bug in Python 3.7 that affected our cross platform testing application
	* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)		* Maintained / contributed to so much other software to a lesser extent... WarpWise (scheduled reporting), Lunchpad, Requirements management tool and data sync (ReqX), Card Swipe/Onsite Security system, Custom build system (Gauntlet)


	Passport Health Plan Louisville, KY		Passport Health Plan Louisville, KY
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	*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard		*Implemented the design in Microsoft SQL Server with SSIS/SSAS/SSRS components and a Tableau based dashboard
	*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting		*Managed ERP and DWH migration during a large corporate merger - integrated data from outgoing and incoming systems into the DWH to minimize stress on reporting


	Farm Credit Mid America Louisville, KY		Farm Credit Mid America Louisville, KY
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	*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business		*Designed a star schema database with multidimensional cube support to house data from our $21 Billion Loan/Lease business
	*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint		*Enabled initial end user capability in only a few months; continued to improve and roll out BI capabilities and expand data warehouse footprint


	Wright Patterson Air Force Base Dayton, OH		Wright Patterson Air Force Base Dayton, OH

← Older revision		Revision as of 01:25, 21 December 2021
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	**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data		**This on-premises Telemetry system ingested ~30TB per day and provided graphical analysis for over 1000 engineers on 22+ Petabytes of data
	*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time		*Iterated to mature DevOps with high standards for test coverage, deployment automation, and value per developer time
			**Leveraged Elasticsearch/Logstash/Kibana/Grafana to build a telemetry Command and Control center for high availability and early problem detection
	*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability		*Created an isolated secure Supply Chain vendor portal to improve purchasing lead time and reliability
	*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP		*Performed SQL Server development with SQL, R, Reporting, Integration, and Analysis Services along with a C#/.NET custom ERP
			**Did significant dev-ops work here; managing complex deployments, and ops tools including PagerDuty (to OpsGenie), Sentry, and Solarwinds
	*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision		*Worked on Data Science/Machine Learning tasks including predictive analytics for supply chain management using natural language processing and computer vision
	**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues		**Facilitated teams performing computer vision to automate human tasks like video review, control panel configuration, lost item detection, metal fatigue and other issues
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	*Maintained the Operating Plan - predictive data set for headcount/resource management planning		*Maintained the Operating Plan - predictive data set for headcount/resource management planning
	*Provided data analysis to reduce scrap costing over $150M		*Provided data analysis to reduce scrap costing over $150M
	*Designed and implemented metrics/kpi architecture from root code to C-~~level~~ dashboards		*Designed and implemented metrics/kpi architecture from root code to C-suite dashboards
	*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations		*Managed and maintained full-stack C# development environment with Jenkins, Bitbucket, Git and other tools to support all company operations
	* A few personally exciting things:		* A few personally exciting things: