John Gavares
More than 8 years of experience and four years of specialization in cloud technology, DevOps, and lidar point clouds.
I design, develop, and maintain cloud computing systems that support the organization's innovative vision and mission of connecting local service providers and customers.
I use platforms such as AWS and GCP to implement cloud adoption plans, determine cloud application design, and create systems for managing, monitoring, and maintaining the cloud system. I also ensure high availability, load balancing, and redundancy for the cloud system, eliminating single-point failures and achieving a 99.9% service level agreement.
One of my core competencies is lidar point cloud, which I apply to various projects involving segmentation and clustering.
Also, I mentor and consult students on how to use the Point Cloud Library, program the RANSAC algorithm, draw bounding boxes around objects, and integrate with self-driving car and flying car technologies.
I have earned nano degrees in self-driving car engineering, flying car engineering, and React from Udacity, as well as a post-graduate program in cloud computing and DevOps from Caltech.
I am passionate about solving complex problems and delivering impact at a global scale for the local service marketplace.
REVIEWS FROM CLIENTS
* Led the development of a robust sensor fusion system for autonomous vehicles, achieving high accuracy in object detection and...
* Led the development of a robust sensor fusion system for autonomous vehicles, achieving high accuracy in object detection and tracking.* Led the development of a robust sensor fusion system for autonomous vehicles, achieving high accuracy in object detection and tracking.
* Designed comprehensive course materials on LiDAR, RADAR, and camera fusion, enhancing student learning outcomes.
* Implemented Kalman Filters and Extended Kalman Filters for state estimation and object tracking, resulting in smoother and more reliable trajectory predictions.**
* **Optimized sensor fusion pipelines for real-time performance, ensuring seamless integration with autonomous vehicle decision-making modules.**
* **Devised assessment strategies for evaluating student projects, providing targeted feedback and ensuring mastery of sensor fusion concepts.**
Autonomous Flight Engineer
* Led development of a novel sensor fusion system for object detection, combining LiDAR, camera, and RADAR data for enhanced accuracy and reliability.
* Implemented path planning and trajectory optimization algorithms, enabling autonomous navigation in complex urban environments.
* Collaborated with cross-functional teams to integrate perception, planning, and control modules into a fully functional self-driving car system.
* Designed and implemented a fault-tolerant sensor fusion system for autonomous flight, enhancing safety and reliability in dynamic airspace.
* Led the integration of propulsion and avionics systems, ensuring seamless performance and achieving key project milestones.
dards.
Self Driving Car Engineer
* **Consulted on the development of a multi-sensor fusion algorithm for autonomous vehicle perception systems within Udacity's Self-Driving Car Engineer Nanodegree program.**
Metrics
Achieved 2.7% improvement in object detection accuracy over prevailing state-of-the-art models.
Experienced Cloud Architect specializing in Dynamics 365 and Azure integration for e-commerce solutions.**
Proven track record de...
Experienced Cloud Architect specializing in Dynamics 365 and Azure integration for e-commerce solutions.**
Proven track record designing scalable, secure, and customer-centric local shopping marketplaces.**
* Designed and implemented a highly scalable cloud architecture for a local shopping marketplace utilizing Dynamics 365 Commerce and a suite of Azure services.
* Led the integration of Dynamics 365 Commerce with external systems using Azure Data Factory and custom APIs, ensuring seamless data flow for order management and inventory synchronization.
* Implemented Azure Cognitive Services (e.g., Search, Text Analytics) to enhance product discoverability and provide personalized recommendations.
* Developed microservices-based components on Azure Kubernetes Service to increase system modularity and enable rapid updates.
* Established a robust CI/CD pipeline using Azure DevOps for streamlined development and deployment processes.
**Additional Notes:**
"Improved order processing efficiency by 25% through Azure Logic Apps automation."
**Skills Section:**
* **Microsoft Dynamics 365 Commerce**
* **Azure PaaS (Platform-as-a-Service):** Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Cognitive Services, Azure Kubernetes Service, Azure API Management
* **Azure IaaS (Infrastructure-as-a-Service):** Azure Virtual Machines, Azure SQL Database
* **Data Warehousing and Analytics:** Azure Data Lake, Azure Synapse Analytics
* **Cloud Architecture Design Patterns:** Microservices, Serverless architectures
* **CI/CD:** Azure DevOps
Implemented a Web-Based Datab
* **Cloud focused on designing innovative data-driven solutions for the real estate appraisal indust...
Implemented a Web-Based Datab
* **Cloud focused on designing innovative data-driven solutions for the real estate appraisal industry.**
* **Expertise in leveraging Azure and Dynamics 365 to streamline appraisal processes, enhance data insights, and improve client experiences.**
**Skills Section:**
* **Microsoft Dynamics 365 (with CRM focus)**10
* **Azure PaaS:** Azure Data Factory, Azure Logic Apps, Azure Functions, Power BI, Azure Machine Learning
* **Azure IaaS:** Azure Virtual Machines, Azure SQL Database
* **Data Analytics and Visualization:** Power BI, Azure Data Lake
* **Cloud Architecture Design Patterns:** Consider adding specific patterns relevant to data workflows.
* **Mapping and Geospatial Tools:** ArcGIS (if you have experience)
Spearheaded the design of a cloud-based solution for a small real estate appraisal business leveraging Dynamics 365 and Azure services, optimizing their workflow and data utilization.
* Built data pipelines with Azure Data Factory to ingest property data from multiple sources (MLS listings, public records, market research platforms), ensuring a centralized data repository.
* Developed interactive dashboards in Power BI for appraisers, providing real-time visualizations of market trends, comparable sales, and property valuation metrics.
* Created custom workflows in Dynamics 365 and Azure Logic Apps to automate report generation, client notifications, and task scheduling.
* Implemented Azure Machine Learning models (if applicable) to forecast property values, assess risk factors, and identify appraisal trends.
**Metrics**
Reduced appraisal turnaround time by 15% through streamlined data access and report automation.