Founding Machine Learning Engineer

• Oct 2022 - Present

Maintainer

• Jun 2022 - Present

Contributor

• Aug 2018 - Present

Staff Machine Learning Engineer

• Jul 2021 - Oct 2022

Junior Principal Data Engineer

• Jul 2020 - Jun 2021

• Played tech lead for McKinsey’s central COVID-19 epidemiological model, providing clients (US Department of Defense, Commonwealth of Virginia, state of New York, etc.) with data, analyses, and scenarios to help them make informed decisions • Lead data engineering teams and mentored junior colleagues and clients on engagements across industries (disaster response and recovery, semiconductor R&D effectiveness, agrochemical fermentation yield optimization, airline crew planning and… Show more • Played tech lead for McKinsey’s central COVID-19 epidemiological model, providing clients (US Department of Defense, Commonwealth of Virginia, state of New York, etc.) with data, analyses, and scenarios to help them make informed decisions • Lead data engineering teams and mentored junior colleagues and clients on engagements across industries (disaster response and recovery, semiconductor R&D effectiveness, agrochemical fermentation yield optimization, airline crew planning and scheduling) • Lead Data Engineering R&D for North America (defined R&D process with other global leads, drafted and reviewed proposals)

Senior Data Engineering Consultant

• Aug 2018 - Jun 2020

Staff Machine Learning Engineer

• Jul 2021 - Oct 2022

Junior Principal Data Engineer

• Jun 2020 - Jun 2021

Senior Data Engineering Consultant

• Aug 2018 - Jun 2020

Research Scientist

• Dec 2017 - Jun 2018

• Accelerated unsupervised learning to compute fluid volumes from NMR T1-T2 data using Apache Beam/Spark on Google Cloud • Processed and visualized key information from hundreds of millions of data lake records to help other scientists find relevant data

Analytics Engineer

• Aug 2016 - Nov 2017

• Modeled Google Cloud Platform costs as function of data lake user activity to further understanding and inform pricing decisions • Conducted threat modeling assessment of data lake API and Discovery Service; mitigated risk in discovery using Cloud Functions • Replicated CircleCI build environment in VSTS using Docker to support GitHub project in compliance with legal restrictions • Authored Python packages for well and wellbore designation parsing and crawling, parsing, and ingesting… Show more • Modeled Google Cloud Platform costs as function of data lake user activity to further understanding and inform pricing decisions • Conducted threat modeling assessment of data lake API and Discovery Service; mitigated risk in discovery using Cloud Functions • Replicated CircleCI build environment in VSTS using Docker to support GitHub project in compliance with legal restrictions • Authored Python packages for well and wellbore designation parsing and crawling, parsing, and ingesting LAS files into data lake • Placed third (out of 20 teams) in We Hackathon: Google Cloud Platform Coding Bootcamp

Data Scientist Intern

• Jun 2015 - Sep 2015

• Developed Elasticsearch plugin for Grafana dashboard and graph editor that supports metrics (not only annotations) • Built process that feeds network operations center portal data into Graphite numeric time-series data store • Developed Elasticsearch plugin for Grafana dashboard and graph editor that supports metrics (not only annotations) • Built process that feeds network operations center portal data into Graphite numeric time-series data store

Technology Associate

• Dec 2011 - Aug 2014

• Reduced firm’s reputational risk by validating XML files to check data integrity before submission to FINRA • Attained highest level of standards compliance in firm by introducing TDD, Crucible code review, and Jenkins Violations reports • Architected and implemented entitlements framework that supports application- and row-level user entitlements • Designed, developed, and integrated framework that lets users drill from aggregated measures to source system for each… Show more • Reduced firm’s reputational risk by validating XML files to check data integrity before submission to FINRA • Attained highest level of standards compliance in firm by introducing TDD, Crucible code review, and Jenkins Violations reports • Architected and implemented entitlements framework that supports application- and row-level user entitlements • Designed, developed, and integrated framework that lets users drill from aggregated measures to source system for each metric • Decreased run time of ETL process for AutoSys job run history data from 6 hours per day to few seconds every hour by analyzing scripts called by process, providing faster and more complete, up-to-date data • Developed IBM Cognos report that indicates whether streams, boxes, and jobs met SLA and graphs historical trends, facilitating identification of potential problems; also includes drill-through functionality between levels • Redesigned QlikView summary dashboard to add 30-day trend line and detailed RAG (Red Amber Green) status for each metric

Technology Analyst Program

• Aug 2011 - Nov 2011

• Built internal website that allows business users to select groups of business entities and their values, thereby removing need for IT to manually analyze subscription requests • Received intensive technical training emphasizing UNIX, C++, relational data modeling, Java, and C#

CDP Technology Summer Analyst Development Program

• Jun 2010 - Aug 2010

• Developed website to host feed statistics, service level agreements, and contact information for JPMorgan Collateral Management and Legal Documentation; user interface included datepicker for previous feed statistics and tabs • Wrote program to automatically map JPMorgan GENESIS feeds to JPMorgan GLOBALNET feeds and extract timestamps for these feeds • Created spreadsheets to automatically calculate time difference statistics for feeds, highlight outliers, and calculate new service… Show more • Developed website to host feed statistics, service level agreements, and contact information for JPMorgan Collateral Management and Legal Documentation; user interface included datepicker for previous feed statistics and tabs • Wrote program to automatically map JPMorgan GENESIS feeds to JPMorgan GLOBALNET feeds and extract timestamps for these feeds • Created spreadsheets to automatically calculate time difference statistics for feeds, highlight outliers, and calculate new service level agreement times for JPMorgan GENESIS and GLOBALNET Show less • Developed website to host feed statistics, service level agreements, and contact information for JPMorgan Collateral Management and Legal Documentation; user interface included datepicker for previous feed statistics and tabs • Wrote program to automatically map JPMorgan GENESIS feeds to JPMorgan GLOBALNET feeds and extract timestamps for these feeds • Created spreadsheets to automatically calculate time difference statistics for feeds, highlight outliers, and calculate new service… Show more • Developed website to host feed statistics, service level agreements, and contact information for JPMorgan Collateral Management and Legal Documentation; user interface included datepicker for previous feed statistics and tabs • Wrote program to automatically map JPMorgan GENESIS feeds to JPMorgan GLOBALNET feeds and extract timestamps for these feeds • Created spreadsheets to automatically calculate time difference statistics for feeds, highlight outliers, and calculate new service level agreement times for JPMorgan GENESIS and GLOBALNET Show less

Undergraduate Student Scholars Program

• Jun 2008 - May 2010

• Wrote program to detect TCP servers on network to identify rogue servers • Demonstrated vulnerabilities via response time covert channels in Xen virtualization platform • Created internal browser-based application for employees to look up network address translation of internal or external address • Used Google Web Toolkit to design linked data explorer that searches online JSON data • Implemented tools to quickly identify suspicious network activity and extract key information… Show more • Wrote program to detect TCP servers on network to identify rogue servers • Demonstrated vulnerabilities via response time covert channels in Xen virtualization platform • Created internal browser-based application for employees to look up network address translation of internal or external address • Used Google Web Toolkit to design linked data explorer that searches online JSON data • Implemented tools to quickly identify suspicious network activity and extract key information from network address translation records • Developed utility to convert data from MATLAB-based format to ARFF for Weka machine learning software Show less • Wrote program to detect TCP servers on network to identify rogue servers • Demonstrated vulnerabilities via response time covert channels in Xen virtualization platform • Created internal browser-based application for employees to look up network address translation of internal or external address • Used Google Web Toolkit to design linked data explorer that searches online JSON data • Implemented tools to quickly identify suspicious network activity and extract key information… Show more • Wrote program to detect TCP servers on network to identify rogue servers • Demonstrated vulnerabilities via response time covert channels in Xen virtualization platform • Created internal browser-based application for employees to look up network address translation of internal or external address • Used Google Web Toolkit to design linked data explorer that searches online JSON data • Implemented tools to quickly identify suspicious network activity and extract key information from network address translation records • Developed utility to convert data from MATLAB-based format to ARFF for Weka machine learning software Show less

InStep: Infosys’ Global Internship Program

• Jun 2009 - Aug 2009

• Identified OCL extended with regular expressions as appropriate language to represent constraints on IDEF1X-based models • Created Infosys InFlux-to-Eclipse Modeling Framework conversion software to support language • Developed part of automatic test data generation suite that interfaces between business rule representation and data generation API • Identified OCL extended with regular expressions as appropriate language to represent constraints on IDEF1X-based models • Created Infosys InFlux-to-Eclipse Modeling Framework conversion software to support language • Developed part of automatic test data generation suite that interfaces between business rule representation and data generation API