Christopher Dye Email & Phone Number

Armonk, New York, Ny, Us

Manager and Lead - Datalake and Pipelines for IBM Public Cloud VPC Observability & AI Ops. Running a Petabyte-scale datalake based on IBM Cloud object storage (COS) for anomaly detection, similarity, cost analytics, AI Ops incident triage. Alignment across multiple data and analytics pipelines, deployed on VMs and Kubernetes (IKS) clusters, written in golang, Python, PANDAS/numpy, DuckDB. Parquet, AVRO, csv, JSON data formats. Auth managed via IBM AccessHub. Co-architected, developed libraries, analytics algorithms and file standards. Consumption / production involving hundreds of human and machine ID’s. IBM internal stakeholders across VPC Dev, SRE, Operations, Infrastructure, Security/CISO systems and IaaS-wide personnel. US Patents for stream processing reliability and observability alerts rationalization.Development – VPC server global capacity analytics key developer of insight into VPC server operational and deployment states per server class and VM profile type, measurement of KPIs; VPC logging analytics development for archive processing. IBM Professional Developer Certification SME, curriculum and exam author - ICCT v6, Container Security and Key Management, 2023IBM Patent review committee – Cloud and Datacenter Recovery

Armonk, New York, Ny, Us

Analytics for Cloud Provisioning Systems Development of Analytics and reporting routines for cloud virtual machine (VM) provisioning systems including Kubernetes (K8s). Use of custom built data science methods run in Python, docker, and Rust. Focal for development across teams from IBM Cloud, Research, and Softlayer datacenter operations. Edge Compute Development for AI and Machine Learning, and Project Management Focal and developer for Edge compute systems projects including decentralized autonomous edge compute system, https://bluehorizon.network. Built emulators, sensor data analytics services, and deep learning workloads for object recognition, training. Multiple architectures. Key technologies: Docker, Linux, architectures: arm64, arm, x86, IBM Power. Python, golang used primarily. Managed development sub-team as well as engagement with external company partners, customers, universities, and private individual contributors. Competitive assessment of Edge, AI, and emerging related technologies. Led Edge compute for automotive networks initiative w/ major OEMs.AI / Deep Learning / Machine LearningBuilt and supported open-source neural network / deep learning GPU-based runtimes w.r.t Edge Compute. Represented Watson Cloud for AI customer application development and at GTC, Think! Conferences. 2018 GTC conference session on Watson AI technologies; Liaison for NVIDIA AI Edge development. Designed, developed and produced 3d printed hardware enclosures for Edge compute AI devices.

San Diego, Ca, Us

Engineering Methods DevelopmentComputational Physics Condition­-based Maintenance System: Led development & integration ofEngineering sub-team aspects of predictive engine maintenance software application. Developed Thermal and Structural part failure prediction algorithms using fleet engine data analytics and physics­-based simulation. Developed reduced­-order (optimization-­fitted differential equations) and statistical models.Software developer role in integration into engineering web-­based application; using Agile.Probabilistics Development: Developing Probabilistic and statistical analyses for turbine component lifing using manufacturing, inspection, and engine test data. Increased component spec lives and engine overhaul/service intervals for multiple engine product lines, part values ~$250k/engine.Engineering Tools and Applications: Creation of targeted engineering software applications to support component design and lifing for compressor preliminiary design, blade vibratory analysis, and creep failure prediction using both closed­-form and FEA calculations.Related Competencies: Leadership, Thermal/Structural modeling, Probabilistics, Python, TCL, Agile, Analytics, Software Development, QA, Unit Testing, Profiling

East Hartford, Ct, Us

Aircraft Systems / Comp. Design for Bombardier, Mitsubishi, Airbus, Boeing, & Military ApplicationsPW1000G (Geared Turbo Fan) Family: Engine nacelle duct aero contouring for nozzle performance; significant engine TSFC improvement, and engineering software applications for such.Design, definition, and integration of contract­-critical next­-gen TMS (Thermal Management Systems) and AGB (Acc'y Gearbox) for P&W's 2015­-2030 engine offerings. Mount systems design for Airbus and Boeing GTFs. 50+ US Patents and EU/International Patents awarded to UTC. Development of engine concepts for early blended­-wing/body (BWB 2035+) aircraft concept designs with NASA, MIT, and Boeing.Military engines: US Secret Clearance (inactive). Aerodynamic redesign of F135 Rolls Royce lift fan inlet. Aerodynamic design & CFD analysis for flexible variable guide vane (US Pat 7942632).Related Competencies: Mechanical Design, Aerodynamics, Systems Integration/ModelingProject ManagementLed Special Initiatives task for process improvement of creation, and automated generation of engine cross-­section geometry for rotordynamic analyses. Expanded high­-fidelity ­level physics tools for design cycle time reduction. Focal point for mech. systems/lube systems for PW GP7000 in­-service fleet engines.Related Competencies: Leadership, Computer­Aided Design, Programming, and Automation

East Hartford, Ct, Us

Component DesignGeometry provider for PW TTEC (Tip­Turbine Engine Concept) main fan rotor integrated aero/structural modeling. Designed and provided 3D parametric swept internal/external aerodynamic surfaces and automated parametric update system for concurrent analysis using CFD and FEA. Reduced design time by 87% while meeting performance requirements.Computer­Aided Design MethodsCreation of parametric modeling tools for engine systems design. Developed methods to create and analyze engine assembly models in CAD with quick turnaround time. Tools: Siemens NX Open API, Fiper, C++, Java, MFC, QT, FORTRAN, Perl, Python, to create and customize parametric modeling tools with ANSYS, Fluent, and PW in­house FEA/CFD/Performance codes.

Provo, Ut, Us

Applied research on various elements of gas turbine engine design. Developed CAx design tools to improve integration of prelim. design and analysis. Integrated Unigraphics w/ proprietary Pratt & Whitney aero-­thermal cycle analysis software and NPSS.Research Topics: Rapid, robust, reusable parametric CAD modeling. Non­traditional turbofan engine concepts. Linking CAD models to analysis and optimization

Engineering, Mathematics

Master'S Of Science (M.S.), Mechanical Engineering

Bachelor Of Science (B.S.), Mechanical Engineering