Joseph Hernandez Email & Phone Number

Livonia, Michigan, Us

AI/ML Model Development: Led a team to develop a cloud-based AI/ML model, reducing manufacturing variance by up to 50% through advanced process controls.MLOps Pipelines: Custom-built MLOps pipelines for optimized training and model deployment, cutting time to market by 50%.System Architecture: Designed and implemented a comprehensive system architecture for AI-powered process control, including data pipelines, databases/storage, DevOps, cloud infrastructure, ML/AI models, and control schemas.AWS Microservice Architecture: Built a scalable AWS microservice architecture with containerized services, ensuring efficient and reliable performance.Hybrid Interface Development: Developed a hybrid software/hardware interface to enable real-time communication between on-premises machines and cloud-based AI/ML models.SaaS Commercialization: Successfully commercialized a research and innovation initiative into a SaaS-based company for the parent company, driving significant growth and establishing new revenue streams.

Minneapolis, Mn, Us

Adjunct Instructor of IENG3115: Statistical Quality Control. Teaching methods for statistical process control (SPC), Agile principles, design for Six Sigma (DFSS), Magnificent 7, etc.

Northville, Michigan, Us

Lead the Process Innovation Team Create disruptive automation technology that is deployed within global manufacturing.

Northville, Michigan, Us

Process Innovation - Scaling and deploying POC research projects into manufacturing. Modernizing traditional manufacturing.

St Paul, Mn, Us

Through strong technical project leadership, I deliver optical measurement solutions for R&D, product development and manufacturing. This includes the creation of custom sensors, algorithm development, complete hardware packaging with embedded systems, synchronization with encoder input for correlating data with process conditions and integration of process measurements with PLCs and historians. Major Projects:Led a seven-member team of cross-functional engineers from conception to final design of a high-speed, interferometric sensor for online process feedback. The final product included fiber based sensors, high speed A2D with DSP on embedded processing, custom electronics for triggering and measurement data alignment, and panel packaging for online installations. Led the development of an imaging system for qualitative measurement of material performance to enable product development and decrease time to market. Decreased manufacturing waste and increased product quality with an at-line optical system that measures the performance of window film. Interference Measurement Techniques:− Broadband Michelson− Low-Coherence− Spectral Domain− Mach ZenderVision Systems:− High-Speed Imaging with Triggered Lighting− Thermal− USB/Gige Cameras with Embedded System Integration− Custom Algorithm Development Using Matlab and LabVIEWOther Measurements− Chromatic ConfocalLeadership:− Tech Forum Leadership Initiative− Leadership Exploration And Development (LEaD)Intellectual Property:− Develop IP strategy for projects, IP landscape searches for freedom-to-operate (FTO) and strengths, weaknesses, opportunities and threats (SWOT)− Hold Multiple Trade Secrets

Candidate for Woodbury Mayor

Woodbury, Mn, Us

Adjunct Professor of Mechanical Engineering Technology. Courses: MET 340 Experimental Methods for Engineering TechnologyEG345: Quality Standards and PrinciplesEG340: Introduction to Engineering Principles

Coordinated campaign activities, managed finances

Houghton, Mi, Us

Support research utilizing the Reflectance Swept-Field Confocal microscope. Advised a graduate student on research topic. Produced manuscripts based on dissertation results.

Houghton, Mi, Us

Micro-scale, two-phase flow is found in a variety of devices such as Lab-on-a-chip, bio-chips, micro-heat exchangers, and fuel cells. Knowledge of the fluid behavior near the dynamic gas-liquid interface is required for developing accurate predictive models. Direct measurements of interfacial shape and internal liquid velocities are prohibited by the light distortion near the curved gas-liquid interface. This research developed experimental methods designed to isolate and probe dynamic liquid films and measure velocity fields near a moving gas-liquid interface. The end result was a high-speed, reflectance, swept-field confocal (RSFC) imaging system capable of collecting information near curved, gas-liquid surfaces.Using the RSFC, experimental studies of dynamic gas-liquid interface of micro-scale, two-phase flow were conducted in three phases. Dynamic liquid film thicknesses of segmented, two-phase flow were experimentally measured and compared to a classic film thickness deposition model. Flow fields near a steadily moving meniscus were determined using RSFC images and particle tracking velocimetry. The RSFC provided high speed imaging, at different depth locations spanning the channel wall and centerline, of the internal flow fields without image distortion caused by the gas-liquid interface. Finally, interfacial morphology for internal two-phase flow and droplet evaporation were measured using interferograms produced by the RSFC imaging technique. Developed RSFC measurement techniques can be used independently or in combination.

Houghton, Mi, Us

Responsible for maintaining the laboratory safety, training new graduate students on laboratory procedures, conducting inventories, computer and network support, mentoring undergraduate and graduate students, providing experimental support.

Houghton, Mi, Us

Development of the class syllabus and time-line for experiments. Supervision and training of graduate teaching assistants on experimental procedures and lecture content. Development/enhancement of laboratory procedures for continuous improvement of both the lecture content and experiment deliverables. Build new equipment based on concepts students are exposed to during Fluid Mechanics and Thermodynamics.Laboratory Curriculum Improvement:Industrial Pipe Flow - Introduces flow losses in a liquid, pressure driven, piped system. Static differential pressure measurements taken across straight pipe sections and flow restrictions provide a method for students to directly measure the friction factors for the pipes. Multiple flow rates and pipe diameters are used to provide the students with comparison data and compare to published values. Static Pressure Transducer Calibration Workstation - Twelve static pressure transducers are calibrated simultaneously against a known inlet pressure source. A precision Bourdon tube gauge is used as the standard and inlet pressure is accurately controlled using a precision regulator and sensor outputs are displayed on twelve digital readout. Students calculate the sensitivity and offset of a pressure transducer using linear regression analysis and compare it to the calibration data provided by the manufacturer. Transducers are used later in the semester with the Industrial Pipe Flow demonstration.Dynamic Pressure Transducer Calibration Workstation - Dynamic pressure transducers are calibrated using a controlled pressure pulse provided by pressurized air. Inlet pressure is supplied by a fast acting toggle valve, which provided a repeatable gas pulse. Differences between a static and dynamic pressure transducer are reinforced, students are able to determine the appropriate applications for both type of transducers.

Doctor Of Philosophy (Phd), Mechanical Engineering

Master Of Science (Ms), Mechanical Engineering

B.S., Mechanical Engineering

High School Diploma, General Studies