Responsibilities: develop Generative AI, Large Language Model (LLM), and Industry 4.0 (IoT) architectures. Serve as an Artificial Intelligence, Machine Learning, Deep Learning and Generative AI (GenAI, LLM) specialist supporting customer and sales engagements with technical presentations, use case discovery, POC's, MVP's and implementations. Provide recommendations on hardware, GPUs, networking, and storage. Act as technical advisor and customer advocate.Major Accomplishments:* Created an enterprise-scale data and analytics Industry 4.0 platform architecture that is inclusive of edge devices, on-prem servers, data center servers and all the associated networking. Architecture included a complete stack along with storage servers using a DataBricks Delta Lake.* Created a GenAI/LLM solution reference architecture, which includes High-performance computing hardware, NVIDIA GPUs and Switches, InfiniBand network fabric. Created detailed technical white paper and presentation content posted on Lenovo's website.* Presented, white boarded, and explained Lenovo's solution and product offerings to customers to honed-in-on optimal fit for customer's needs. These efforts were at both customer sites and in Lenovo's Executive Briefing Center.

Responsibilities: develop strategy and define Azure target architecture for the application, integration, and software development life cycle with a focus on IoT, Autonomy, data and analytics. Major Accomplishments:* Created and delivered design blueprints and artifacts that enabled the data and analytics architecture to become the corporate pattern. Introduced architecture to organization and created introduction road maps for adoption.* Lead team and participated on the development of a state of art analytics platform based on target architecture. Product owner of this platform.* Introduced, scaled, and deployed platform to production using a variety of use cases.* Trained on Azure services and capabilities: IoT Edge/Hub/Central; Azure data lake house including SQL server, datalake Gen2, CosmosDB; Synapse; PowerBI; Azure ML and MLOps; Event Hub; Synapse pipelines; Azure DevOps; Azure Active Directory; RBAC* Executed solution introduction leveraging technical ability and collaboration with architecture, cloud engineering and strategic partner teammates.

Responsibilities: develop analytics architecture and streaming analytics for new digital platform that moves analytics on-board locomotives. Major Accomplishments:* Shaped the digital strategy for our new digital IoT solution. * Created new applications, analytics, and reusable components to meet customer needs and exceed their expectations. * Created and deployed machine learning models and integrate AI methods where they have never been applied. * Built out a streaming analytics platform based on SAS ESP. Assisted where needed in the sales process.* Created a reusable analytics framework managing in-flight data munging, modeling, alerting and AWS production deployment. Frameworks created for edge and cloud applications.* Created analytics library with reusable analytics modules.* Developed an analytics practice with 3 direct Data Scientist reports.* Won a major deal with a European railroad based on EdgeLinc analytics capabilities.

Responsibilities: Enterprise Architect for business version of GE’s IoT platform. Worked on the platform’s reference architecture design, proto-type and the platform’s implementation in AWS and On-Prem environments. Involved in master data management, modeling, root cause analysis, system development, big data analysis, and event stream processing. Major accomplishments, edge level:* Developed simulations based on sample data and subject expertise to be used in model development.* Created code for alarms and limits using and Python.* Developed new neural networks and machine learning models based on training data.* Optimized the performance of these models to improve combustion dynamics and reduce NOx and CO2.* Implemented application into customer’s control system.Major Achievements, cloud level -- batch to micro-batch level processing, data velocities – low seconds and higher:* Facilitated development of a business focused reference architecture exploiting GE’s IoT offering. Platform was designed for petabyte data volumes using the paradigms of PaaS and SaaS.* Evaluated and stress tested the technologies in the architecture. Primary focus was on data flows and streaming analytics from sensor level through cloud. Exploited SAS ESP, Cassandra, Spark, and Hadoop ecosystems for this effort and identified, tested and evaluated other technologies that filled platform gaps.* Developed a cloud-based state of the art event stream processing solution that combines real-time streaming analytics with sensor and operational data to yield a prediction of asset failures. This approach combines traditional statistical methodologies and machine learning to produce results with a high level of confidence. Created machine learning models as part of this effort.* Developed infrastructure that exploits best practices in enterprise master data management resulting in a comprehensive, consolidated, golden modeling dataset ready for analysis.

Responsibilities: solution development, pre-sales and post-sales support, solution implementation, coding, modeling. Provided business linkage to tool offering and worked with R&D to enhance solution/tool offering.Major Achievements:* Principal developer of a novel solution, PAM, that addresses maintenance and reliability related problems tying these issues back to general ledger implications—forecasts and financial reports. Solution was based on a prognostics and health management approach (PHM).* Spear-headed initial 2 sales of PAM 1.8 million sale and a 3.9 million sale* Primary advocate for solution development working with various SAS organizational levels – R&D, Marketing, Sales, Professional Services -- to make this vision a reality.

Responsibilities: projects assigned based on changing needs of the organization. Employed SAS and multivariate analysis to analyze data sets. Primary datasets analyzed were those needed to investigate the effectiveness of therapeutic approaches in the following areas: the effectiveness of intervention and its duration, the effect of staffing on treatment performance and comparison of medication on therapy performance. Performed survival analysis on common drugs used to treat psychotic behavior with a study goal of determining the “Real World” performance of these drugs. Gained experience with clinical data.Major Achievements:* Discovered major data integrity issues and problems with data management. Proposed a novel approach to data management involving centralized depository of information and computer management of data entry. Concept is being implemented.* Identified trends in treatment performance characterized by a previously unknown subset of the data. A metric for this subset is now being used as a performance gauge.* Developed a statistical model using multivariate analysis to demonstrate the impact of patient needs and pharma-economics on the selection of two similar anti-psychotic drugs.

Responsibilities: material's reliability of magnetic random-access memory (MRAM) -- a new field of knowledge - - and physical failure analysis (PFA) for developing DRAM technologies.MRAM Major Achievements:* Analyzed the effects of thermal cycling on magnetic tunnel junctions (MTJ).* Discovered deformation mechanism occurring at MTJ film interfaces.* Ascertained the effect of thermal cycling on film delamination.DRAM PFA Major Achievements:* Aided process improvements and a more rapid technology development by discovering multiple processing defects not highlighted by in-line investigations.* Successful mask re-design accomplished by incorporating mask changes to address pattern limitations highlighted by my work on node test structures.* Developed multiple improvements in a technique to pinpoint exact fail location of a single failing cell allowing for the understanding and correction of node and dielectric problems.* Located, tested, validated and negotiated improved sample turn-around time and pricing of an alternative PFA vendor to supplement and enhance in-house capabilities.

Responsibilities: plant metallurgist responsible for metallurgical processes including the development and maintenance of the associated quality system. Process improvement and problem resolution. Responsible for maintenance and calibration of measuring and test equipment. Managed and organized quality department’s metallurgical and gauging laboratory. Planned quality department budget. Evaluated metallurgical vendors for approval. Implemented cost saving measures. Served as technical liaison between TRW-Fuji and metallurgical vendors. Wrote and implemented quality control procedures for QS9000 initiative. Implemented SPC systems. Served as key team player in the following activities: QS9000 certification, production part approval process (PPAP), 8D approach to problem solving, advance product quality planning (APQP) and the FMEA process development. Performed the following: technical training, failure analysis, destructive and non-destructive testing. Purchased/implemented specialized equipment--tensile testing machine and automated gauging equipment.Major Achievements:* Discovered root cause of customer recall and implemented process solution. * Visited customer to explain problem and demonstrate permanent fix implemented and validated.* Drastically reduced mis-processing and no customer recalls occurred as the result of the establishment of a comprehensive SPC system for all metallurgical processes. Prior to this system’s establishment, numerous serious mis-processings occurred resulting in multiple customer recalls.* Reduced scrap rate associated with powder problems to less than 1%. Using a design of experiments approach to analyze variations in powder plasma welding processes exhibiting a high scrap rate, >10%.

Research focus on high temperature intermetallics. Property and processing development and design. Development new high temperatures. Automated equipment for large scale processing of these materials.Major Achievements:* Formulated and carried out all aspects of an independent original research project to evaluate the mechanical properties of Al-based intermetallic alloys.* Characterized previously unknown relationship between microstructure and macro-mechanical properties of Fe-Ta aluminides.* Developed and implemented a continuous levitation casting unit that produced high purity ultra large intermetallic rod ingots.