Science Olympiad is a national high school / middle school science competition where students compete in 23 different team events from all disciplines. The events are designed around national science and STEM standards and include subjects such as genetics, earth science, chemistry, anatomy, physics, geology, mechanical engineering and technology.• Help operate the Wayne-Monroe Science Olympiad Regional Tournament• Work with State and National Officers to help improve the competition• Encourage students to become interested in science and engineering through workshops, regional competitions, and other STEM initiatives

* Responsible for developing standards and practices for data engineering* Responsible for evaluating and recommending technology solutions, most recently for geospatial analysis tools* Developed geospatial solution using GPU accelerated in-memory database achieving 3 orders of magnitude (from 30 days to 15 minutes) increase in processing throughput over GeoSpark* Responsible for developing analytic applications to support autonomous vehicles - developed automated process for ingesting data from vehicle into NAS and Hadoop - developed application to tag and search event-based KPIs in nearly 1PB of data* Wrote 28,000 lines of Spark2 code in Scala (including unit tests) to decode connected vehicle data using recursion and functional techniques resulting in higher accuracy / data quality and improved performance* Organized a study group for Coursera Functional Programming Principles in Scala course and taught programming concepts to the group* Developed reference projects using Eclipse, IntelliJ, Gradle and Scalatest to provide standardized way of developing, testing, and deploying Spark 2 libraries and applications into our Hadoop environment increasing performance on-average 50x over our current Map-Reduce solutions developed by IT* Developed a pre-configured package for Apache Zeppelin to allow users to quickly install and connect to our Hadoop cluster* Hosted several knowledge-sharing sessions to teach data scientists about connected vehicles, autonomous vehicles, and geospatial analysis* Technologies: Spark, Scala / ScalaTest, Apache Zeppelin, Python, Hive, Hadoop, Bash, Git, Gradle, Kinetica, Makefile, Ruby, SQL, Geospatial, Docker

* Responsible for analytics for Autonomous Vehicles / Advanced Driver Assistance System projects* Responsible for data engineering for Connected Vehicles and related projects* Responsible for developing analytics infrastructure and capabilities for Powertrain projects* Developed a custom input-file reader for Hadoop to natively parse our proprietary engineering data files from autonomous vehicles increasing processing throughput over 100x* Developed an ecosystem for developing and deploying analytics applications using Spark into a production environment using agile / continuous integration / continuous deployment concepts* Developed an automated pipeline for ingesting, decoding, enriching, and searching-at-scale* Technologies: Spark, Scala, Python, Hive, Hadoop, Bash, Git, Gradle, Maven, Kinetica, Makefile, Ruby, SQL, Geospatial, Docker

* Developed an architecture to enable collection of data from vehicles and processing of data at the edge* Helped gain alignment between GDI&A, Product Development, and Information Technology on the vision and mission of the Big Data Drive 2.0 effort leading to kickoff of the project

* Development of strategy and information standards for Connected Vehicle Data* Develop decode and transform logic to support the ingestion of Connected Vehicle Data from various sources, e.g. embedded modems, plug-in devices, etc.* Analysis and data profiling on data entering the Connected Vehicle Data Platform using Hive, Pig, and Spark* Managing and training a team of 8 to deliver Connected Vehicle information standards and analysis* Technologies: Map-Reduce / Java, Hive, Pig, Hadoop, Spark, Bash, Git, Maven, Kinetica, Makefile, Ruby, SQL

* Development of strategy and information standards for Connected Vehicle Data including defining the information landscape, conceptual and logical definitions, decode and transform logic, as well as data standardization rules* Worked with Ford's Office of General Counsel to develop strategy to comply with data privacy requirements and working with the Automotive Privacy Alliance at its inception* Develop decode and transform logic to support the ingestion of Connected Vehicle Data from various sources, e.g. embedded modems, plug-in devices, etc.* Analysis and data profiling on data entering the Connected Vehicle Data Platform using Hive, Pig, and Spark* Managing and training a team of 8 to deliver Connected Vehicle information standards and analysis* Technologies: Map-Reduce / Java, Hive, Pig, Hadoop, Spark, Bash, Git, Makefile, Ruby, SQL

* Model-Based Systems Engineering* Planned and coordinated 6 MoARTs (Mother-of-All-Road-Trips) Vehicle-Development trips on 3 continents (North America, Europe, China) ranging from 15,000 to 150,000 miles including developing the analysis tools, data collection strategy, scheduling and logistics for equipment, vehicles and personnel* Adapt MATLAB models to run on a High-Performance Computing Cluster allowing the team to test complete feature-simulations on 100TB of data in under 2 weeks, effecting a 99% reduction in analysis time using HPC techniques* Developed a custom job scheduler in Ruby to assign heterogeneous tasks across 16 nodes of a High-Performance Compute Cluster* Rewrote batch analysis scripts using MATLAB's object-oriented handle class and achieving a 90% increase in performance* Developed a process for collecting, storing and analyzing ~350TB of data for adaptive cruise control and other active safety features. Developed fully-automated tools to allow teams to analyze the data in the field and make algorithm changes in real-time as opposed to needing to wait several weeks for the analysis to complete using manual techniques* Lead a team of engineers to develop a library of tools to increase the analysis capabilities and further increase automation. Developed interface and coding standards for all processing scripts to ensure interoperability of the tools and eliminate duplication of effort. Reviewed the code to ensure adherence to the standards.* Performed geospatial analysis of the data to find correlations between geospatial features and system performance using ArcGIS, Google Earth (KML), and MATLAB* Technologies: MATLAB / Simulink, dSPACE Autobox / MicroAutobox, TargetLink, Visual Studio, C / C++, Ruby, PERL, CoRAID ATA Over Ethernet Storage, Platform LSF, Geospatial

* Supporting development of global requirements structures and implementation in TeamCenter Systems Engineering. Working with tool vendor Siemens-UGS to develop customizations of the tool in support of pilots with SPDJB, Infotainment / Sync, Powertrain / SMT, and Global Chassis teams* Performed technical design reviews with suppliers reviewing compliance against Ford requirements and reviewed supplier code for compliance against industry standards and Ford-specified coding standards* Technologies: Siemens PLM / TeamCenter / TeamCenter System Engineering, C / C++

Science Olympiad is a national high school / middle school science competition where students compete in 23 different team events from all disciplines. The events are designed around national science and STEM standards and include subjects such as genetics, earth science, chemistry, anatomy, physics, geology, mechanical engineering and technology.• Responsible for helping operate the state tournament, troubleshooting events, helping with scoring and score counseling, and examining and arbitrating disputes from competing teams• Presenting at the annual workshop at Michigan State University• Responsible for supporting the regional tournaments by helping with tournament arbitration and scoring or by running one of the 23 events

Developed a proof-of-concept requirements management structure in DOORS to manage requirements and show coverage by software validation test procedures• Project enabled the reduction of defects early in the software development process rather than waiting until final product validation• Developed custom scripts in the DOORS DXL language to automatically show impact of requirements changes on validation test procedures, reducing analysis time from 3 weeks to under 15 minutes enabling more accurate testing, less re-work / re-testing, and reduction in preparation time before beginning testing• Automated creation of trace matrix between requirements and test procedures.

Development of a fully-automated Hardware-in-the-Loop Tester• Managed a team (on-shore and off-shore) to develop tester functionality and perform testing• Features of the tester: (1) modular design allowed testing of various modules (airbags, occupant classification modules, etc) for multiple OEMs (Toyota, Honda, Chrysler) on the same tester to maximize utilization; (2) complete test history of test readings and results stored in a MySQL database to ensure complete traceability; (3) fully-automated report generation allowing instant access to test results via web-based portal• Booked $384K in hard-savings as part of a Six Sigma - Greenbelt project due to reduction in outsourced testing services• Booked additional savings as cost avoidance as overall testing time was reduced from 3 weeks to less than 1 week allowing more testing and more value-added testing to be completed in less timeDeveloped automated flash programmer using Python to update firmware on tester cards with verification and logging capability.• Developed a system to reflash an entire rack of 20 tester cards instead of updating each card individually• Reduced complete tester updates from 2 days to under 30 minutes

Developed control algorithms and continued to develop in-house crash simulation software. Helped develop hardware-in-the-loop systems using dSPACE equipment for running crash tests on physical modules. Developed correlation utility to correlate simulation and HiL test results.

Developed software and control algorithms for the Stabilitrak (IVD) system for the Cadillac Escalade. Also implemented and maintained a configuration management system using PVCS for managing embedded software. Helped develop a process for build and release management. Also developed a custom reporting tool for generating build reports.

Developed control algorithms and developed in-house crash simulation software for our third and fourth generation airbags. Also designed and tested electronic circuit designs for fourth generation airbag ECUs.