Jonathan Mcfadden Email & Phone Number

Kirkland, Wa, Us

Issaquah, Wa, Us

* Led project to create NLP dataflows to do aspect-based sentiment analysis on incoming data. * Wrote a multiple LLM powered chatbots to answer questions regarding the above NLP project, allowing the product safety team to more easily dive into the details of the data. * Wrote a multi-vector, time-decaying vector-DB RAG to consume the most relevant data with multiple encodings to ensure capture of as many aspects of the NLU process as possible * Wrote a custom Langchain retriever to speed up responses by the aforementioned LLM Bot. * Wrote a custom front-end for the chatbot using Chainlit and then Streamlit. Using docker compose scripts, packaged the resulting front end into a docker container for deployment on a Kubernetes cluster. * Currently working to extend the aforementioned chatbot with MMR retrievers, spare retrievers, re-engineering of the prompt with techniques like CoT or PAL, metadata enrichment from the ABSA work described above, structured data retrieval (eg database queries), self-querying retrievers, multi-query retrievers, Contextual compressions, long-context reordering, and multi-prompt retrievers. * Leading member of department-wide technical review board that approves all production changes. * Developed framework, processes, and templates for PII/PHI handling in Spark pipelines feeding our Delta Lake in DataBricks * Led work on the Data Science and ML side for the legal and compliance review of the previously mentioned PII work. Also co-leading the stand-up of a data science governance board. * Designed and then led migration to new storage accounts across all 5 environments and multiple data classifications. The design of the storage accounts was to segregate data into storage accounts based on its classification (PII/PHI/PCI/etc).

Issaquah, Wa, Us

* Leading member of department-wide technical review board that approves all production changes. * Developing training materials for other Data Scientists; specifically, with respect to SDE best practices, full Data Science Lifecycle requirements (EDA to Model monitoring), coding style standards, git usage, CI/CD & MLOps, Pull Request review process, and deployment process & standards – reduced PR rejections by almost 50% (see below) * Stood up multi-tiered PR review process that must be followed for all Data Science code moving to production – reduced production deployment work by factor of 3 * Developed framework, processes, and templates for PII/PHI handling in Spark pipelines feeding our Delta Lake in DataBricks – saved us from having to buy a $3 million/year tool – invited to present this at the 2024 Databricks Data and AI Summit * Led work on the Data Science and ML side for the legal and compliance review of the previously mentioned PII work. Also co-leading the stand-up of a data science governance board. * Developed a complete MLOps framework, infrastructure, tooling, and process for deploy machine learning models to production. This leveraged Azure DataBricks, Azure Data Factory, and Azure DevOps, and included configuring repository management, setting up automated test frameworks, devising & documenting processes, and creating deployment pipelines for both model, feature engineering, & ETL code.- Helped lead the creation of Costco’s data science center of excellence as part of the its leadership team as well as as lead machine learning engineer. This included everything from developing processes & procedures, to designing architecture, to deploying infrastructure, to writing ETL & MLOps pipeline code, to review & approval of all code being deployed to production.

Issaquah, Wa, Us

- Worked on projects including data collection and analysis for supply chain issues- Developed Data Science and MLOps Architecture for new Data Science team- Coordinated and assisted with build out of Azure cloud infrastructure to enable the previously designed MLOps Architecture- Worked with Data Engineering and Data Warehousing teams to make data available to the rest of the data science team as well as define ETL processes in support of and within the data science team

Issaquah, Wa, Us

- Developed a complete MLOps framework, infrastructure, tooling, and process for deploy machine learning models to production. This leveraged Azure DataBricks, Azure Data Factory, and Azure DevOps, and included configuring repository management, setting up automated test frameworks, devising & documenting processes, and creating deployment pipelines for both model, feature engineering, & ETL code.- Helped lead the creation of Costco’s data science center of excellence as part of the its leadership team as well as as lead machine learning engineer. This included everything from developing processes & procedures, to designing architecture, to deploying infrastructure, to writing ETL & MLOps pipeline code, to review & approval of all code being deployed to production. - Also served as an individual contributor to various data science projects such as meat sales, gasoline sales analysis, RFM segmentation, supply chain analysis, and more.- currently working with the rest of the leadership to stand up a data science code review board and accompanying standards and procedures- working with multiple data engineers to teach them Delta Live Tables (DLT) so we can start to leverage DLT as our ETL framework and begin to decommission legacy systems and tools, thereby increasing productivity and decreasing TCO. Also contributing to the eventual stand up of a data engineering code review board for this effort.- As part of DLT migration PoC’s, wrote a DLT pipeline that completed the ETL for a report in 10-15 minutes compared to 3.5-5 hours for the original ETL pipeline using Informatica Cloud Tooling- Chair of Data Science subcommittee of the Data Tech Forum, which is a group of Costco IT’s best developers, engineers, architects, and other technical people in data that is changed with making critical technical and technology decisions for the company- working on PoC of digital twin for critical business operations

Issaquah, Wa, Us

- Developed a complete MLOps framework, infrastructure, tooling, and process for deploy machine learning models to production. This leveraged Azure DataBricks, Azure Data Factory, and Azure DevOps, and included configuring repository management, setting up automated test frameworks, devising & documenting processes, and creating deployment pipelines for both model, feature engineering, & ETL code.- Helped lead the creation of Costco’s data science center of excellence as part of the its leadership team as well as as lead machine learning engineer. This included everything from developing processes & procedures, to designing architecture, to deploying infrastructure, to writing ETL & MLOps pipeline code, to review & approval of all code being deployed to production. - Also served as an individual contributor to various data science projects such as meat sales, gasoline sales analysis, RFM segmentation, supply chain analysis, and more.- currently working with the rest of the leadership to stand up a data science code review board and accompanying standards and procedures- working with multiple data engineers to teach them Delta Live Tables (DLT) so we can start to leverage DLT as our ETL framework and begin to decommission legacy systems and tools, thereby increasing productivity and decreasing TCO. Also contributing to the eventual stand up of a data engineering code review board for this effort.- As part of DLT migration PoC’s, wrote a DLT pipeline that completed the ETL for a report in 10-15 minutes compared to 3.5-5 hours for the original ETL pipeline using Informatica Cloud Tooling- Chair of Data Science subcommittee of the Data Tech Forum, which is a group of Costco IT’s best developers, engineers, architects, and other technical people in data that is changed with making critical technical and technology decisions for the company- working on PoC of digital twin for critical business operations

Issaquah, Wa, Us

- Worked on projects including data collection and analysis for supply chain issues- Developed Data Science and MLOps Architecture for new Data Science team- Coordinated and assisted with build out of Azure cloud infrastructure to enable the previously designed MLOps Architecture- Worked with Data Engineering and Data Warehousing teams to make data available to the rest of the data science team as well as define ETL processes in support of and within the data science team

Issaquah, Wa, Us

Creating Informatica pipelines, loading/processing data in ADLS to Delta Tables, slinging Scala & PySpark for Databricks, and any/all other ETL/ELT tasks you could every want a DE to do.* carried out significant work from my previous role while they found people to replace me.

Issaquah, Wa, Us

Support existing Splunk deployments, work on creating/transitioning to new Splunk deployments, misc. data science & data engineering projects, cloud & infrastructure architecture projects, Linux & Windows administration, system optimization, development of various monitoring systems in & out of Splunk, and more

Issaquah, Wa, Us

Support existing Splunk deployments, work on creating/transitioning to new Splunk deployments, misc. data science & data engineering projects, cloud & infrastructure architecture projects, Linux & Windows administration, system optimization, development of various monitoring systems in & out of Splunk, and more

Issaquah, Wa, Us

Sciencing the data, analyzing DB2 & Oracle log data, and writing “Splunk Lite” for. from scratch in <3 months by myself.

Auburn, Al, Us

- Decided what material to cover in course and devised corresponding course schedule- Prepared and delivered lectures- Created new and/or assigned existing homework problems and labs- Instructed lab TAs what to cover for recitation and what to give for in-lab quizzes.- Worked with lab manager to fine tune labs and recitations.- Created homework solutions and posted them online- Wrote, administered, and graded tests- Kept grade-book for homework and tests. After receiving lab grades, compiled, calcuated, and submitted final grades.

Auburn, Al, Us

- Conducted recitation and lecture. Including reviewing material covered in the week’s lectures, demonstrating/presenting problem solutions to students, leading student problem solving sessions, and guiding both individual students and groups of students through solving problems and preparing to present their solutions. - Supervised student labs for introductory physics classes (survey of physics, non-calculus based physics and calculus based physics). Including explaining concepts behind lab and lab procedure, ensuring a safe lab environment, answering student questions about labs, and troubleshooting problems with equipment.- Covered PHYS 1000, 1500, 1510, 1600, and 1610

Supervised a staff of 15 people. - Scheduled guards, checked and submitted time cards- Conducted personnel evaluations- Lead weekly staff meetings and training sessions- Devised and carried out a training program for the pool staff. Including water rescue, spinal management, basic patient management, CPR, first aid, preparation for and coordination with arriving fire department and paramedic crews, and crowd control.- Monitored daily performance and quality of work of subordinates. - Coordinated periodic training with base fire department- Worked with supervisors regarding government expenditures on the pool.- Managed swim lessons program. Including assigning students to appropriate levels, instructors to appropriate classes, reviewing lesson content for each level and teaching techniques with instructors, maintaining records of classes taught by each instructor, and submitting records to supervisors and the American Red Cross at the end of the summer.- Worked base civil engineering dept. regarding maintenance and operation of the pool itself; associated pool machinery and equipment; and pool buildings.

Doctor Of Philosophy - Phd, Computer Science

Master’S Degree, Computer Science

Master Of Science (Ms), Physics

Master Of Science (Ms), Applied Mathematics

Bachelor Of Science - Bs, Engineering Physics/Applied Physics

Bachelor Of Science - Bs, Electrical And Electronics Engineering

Bachelor Of Science (Bs), Mathematics

Bachelor Of Science (Bs), Physics

High School Diploma