Manuel Gonzalez-Rivero Email & Phone Number

El Segundo, California, Us

• Leading a team of Data Scientists, Machine Learning Engineers, and Computer Scientists to develop cutting-edge capabilities for the Department of Data Science and Artificial Intelligence at The Aerospace Corporation.• Implementing TRL level 2-6 technologies to support Government and Civil Aerospace Missions, driving innovation and exploration in the field.• Collaborating cross-functionally to create advanced data models and algorithms, contributing to the advancement of AI technologies in the aerospace industry.

Westminster, Colorado, Us

Directing a hybrid department of data scientists, software engineers, geospatial analysts, and data operations personnel to build enterprise scale global geospatial analytics products and solutions that span from TRL 1 to 9.

Westminster, Colorado, Us

Provide technical and managerial leadership for the creation of Deep Learning/Computer Vision production ML Pipelines for globally generalizable object detection, semantic segmentation and scene classification that operated on the Global Daily intake of satellite imagery. Duties included - Design and execution of the technical roadmap for a department of 4 teams (Machine LearningEngineering, MLOPs, Data Science Services, and Application Layer) as the technical architect - Management of a 30 million dollar backlog of opex, capex, and contracts for government and internal customers while protecting Maxar IP. - Creation of a horizontal team to modernize Data Science workflows by gathering requirements for user personas, identifying key use-cases, and building a critical path for feature implementation across the Applied Machine Learning department.

Westminster, Colorado, Us

Created modeling infrastructure to standardize how models are designed and built for the purpose of global scale orbital computer vision algorithm derivative data product generation

Westminster, Colorado, Us

Global Scale Orbital Computer Vision Algorithm Design

Palo Alto, California, Us

Global Scale Orbital Computer Vision Algorithm Design For DoD, specifically in the domain of object detection against EO/IR and SAR data sources.

San Francisco, California, Us

Focused on the creation of foundational mapping data products such as the extraction of buildings and roads at a global, daily scale.

University Park, Pa, Us

- Developed convolutional neural networks for automatic detection, estimation, and classification of structures of interest within GIS multi-spectral imagery.- Developed active mask segmentation algorithms for the detection, classification, and signature generation of targets captured in short/long wave IR imagery.- Developed evaluation tool that made use of homogeneous k-fold analysis to compare performances of competing target tracking algorithms.- Developed image processing algorithms to operate on a power constrained system that could perform feature extraction, pose estimation, photo stitching, classification, and compression

Data Science Consulting- Delivered Classification/Estimation/Detection/Segmentation solutions on various imaging platforms- Maintained website of topics relevant to data science www.3dbabove.com

I oversaw and executed contracts with companies that require rapid prototyping services. This includes the design, layout, fabrication, and manufacturing of complete electrical engineering solutions. Some projects I've taken on include,- High Precision Microscopy- Rocket Avionics- low power wireless consumer electronics- SBIR contract acquisition

Reston, Virginia, Us

- Build Satellite Payload Systems- Generate Dense Signal Environments for Payload test- Develop FPGA, Matlab, and Labview Solutions for satellites from conception to delivery- Interface with Customers to develop solutions in line with their needs

Bethesda, Md, Us

- Developed Image processing algorithms on Virtex 6 devices- Created Bit and Cycle accurate models of complex communication modems in Matlab.- Created analysis of new frequency space constellations for satellite communication- Created an organization that gathered junior engineers to produce white papers for senior review.

Pittsburgh, Pa, Us

- Design , build, and repair hardware and software for modular snake robots to make them more fault tolerant - Coauthored paper titled “Design of a Modular Snake Robot” published in the 2007 International Conference on Intelligent Robots and Systems (IROS)- Developed an image processing suite in C that performs object recognition tasks

- Created software that improved radar range and device utility in the field.- Successfully prepared an IRAD for preliminary design review which yielded additional funding from DARPA.- Applied signal processing techniques on Laser Doppler Vibrometry Data.

Ms And Bs, Electrical And Computer Engineering

Ged