John Gray Email & Phone Number
@maxpoint.com
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Who is John Gray? Overview
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John Gray is listed as Solutions Architect - Annapurna Labs - AWS Neuron, Trainium and Inferentia at Amazon Web Services (AWS), a with 142019 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at maxpoint.com and a matched LinkedIn profile for John Gray.
John Gray previously worked as Senior Generative AI Architect - AWS GenAI Labs at Amazon Web Services (Aws) and Tech Lead - AWS Data Lab at Amazon Web Services (Aws). John Gray holds Bachelor'S Degree, Mathematics And Computer Science from North Carolina State University.
Email format at Amazon Web Services (AWS)
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AeroLeads found 1 current-domain work email signal for John Gray. Compare company email patterns before reaching out.
About John Gray
Solution Architect with a proven track record of solving business problems with technical solutions. Experienced ML and Data practitioner.
John Gray's current company
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John Gray work experience
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Solutions Architect - Annapurna Labs - Aws Neuron, Trainium And Inferentia
Current
Senior Generative Ai Architect - Aws Genai Labs
Tech Lead - Aws Data Lab
Led technical strategy for 100+ architects including architectural thought leadership, Go-to-market strategy, and communities of practice. Served as the architectural leader for high-impact engagements. Key projects include: - Developing technical strategy for important growth areas for the business, including AIML, Search, and DataOps. Led role definition, hiring standards, onboarding, Go-To-Market, and Delivery across these technical areas. - Leading a centralized training and technical enablement strategy to ensure high technical quality bar for customer engagements. - Developed Generative AI strategy for the Data Lab Organization to include customer facing messaging, Go-To-Market strategy, and internal enablement.
Senior Solutions Architect - Data Lab
Worked directly with AWS customers to implement strategic ML and data initiative from pre-sales validation and customer upskilling to architectural design, hands-on technical solutioning, coding, and go-live strategies Led Go-To-Market initiatives for ML/AI, Search, and Non-Relational Databases growing ML/AI from <1% of delivered engagements to 25% of business. Designed, prototyped solutions, and guided over 50 AWS customers through the deployment of complex business-critical data and ML systems including: - An organization wide, MLOps platform for an Energy customer, allowing for faster time to production and higher confidence of forecasting models using SageMaker - On-device predictive maintenance system for an aerospace customer enabling drone failure prevention, including on-device model hosting, and data capture, as well as cloud side model training, and data platform. Leveraged IoT Greengrass, SageMaker and Redshift. - Company-wide feature store for a multi-tenant SaaS provider, supporting recommendation, search, and personalization models leveraging SageMaker Feature Store, Snowflake, and Lambda. - A Gemfire to DynamoDB migration to support the first on-premises to cloud order management system for a retail trading solution multi-national financial services customer - Central message bus and streaming environment for a large enterprise leveraging Apache Kafka and AWS Lambda to support real-time personalization. - A Splunk to OpenSearch migration architecture to support a 2TB/day centralized logging platform for Security Analytics and Observability Built and delivered Data Warehouse/Redshift Enablement workshops globally to target strategic compete customers including 75+ customers across 10 geographies. AWS Bar Raiser, leading and facilitating over 150 interviews across entirety of Amazon
Cloud Support Engineer (Big Data)
Supported various customers' Big Data and Machine Learning architectures utilizing Amazon SageMaker, DynamoDB, Elastic Map Reduce (EMR), and other related technologies within AWS. This includes architectural and design reviews, technical deep dives and implementation walkthroughs. Worked with customers to facilitate feedback and develop roadmap for a V1 product.Notable Other Projects include:- AWS Certification Subject Matter Expert - Aided in the creation and development of the Amazon Machine Learning Specialty Certification Exam- Assisted in the support launch of Amazon Elastic Inference and Amazon SageMaker Neo. This included documentation development and proactive customer engagements to drive successful product adoption.
Cloud Support Associate (Networking)
Supported customer's cloud environments with a focus on Networking services. Specialized in supporting the following services:• Elastic Load Balancing• Auto Scaling• Virtual Private Cloud • Cloudwatch Monitoring• Route 53• Web Application Firewall (WAF)Supported several customer application events, monitoring and troubleshooting cloud applications through deployments, launches, load testing and related events. Served at the technical point of contact for all networking related issues and concerns during the event.Developed tooling to track customer experience improvement through team workflow changes.
Customer Proof Of Concept Co-Op
Cisco’s Customer Proof of Concept (CPOC) labs test drive future networks for enterprise accounts.• Install/remove Cisco routers, switches and servers• Build and configure network topologies• Update and maintain the inventory and reservation tool for CPOC equipment • Led hardware build, basic configuration, and POC preparation Devices, Platforms, and Technologies• ACI (Application Centric Infrastructure)• Cisco CloudCenter (Formerly CliQr)• IWAN (Intelligent Wide Area Network)• Cisco 2900, 4321, 4331, 4351, 4431,and 4451 Integrated Services Routers• Cisco Catalyst 2900, 3650, 3750, 3850, 4500, 6500, and 6807 Switches• Cisco 1001, 1001-X, 1002, 1002-X, 9904, 9006, 9010 Aggregation Service Routers• Cisco Nexus 2000, 5000, 7000, and 9000 Series Data Center/Fabric Switches• Cisco UCS B and C Series Servers• Cisco 5515, 5545, 5555, 5585 Adaptive Security Appliances• Spirent TestCenter• VMware ESXi, vCenter and vSphere• Cisco Tetration Analytics Platform
Business Analyst Intern
Research Intern
Implement text processing techniques on Twitter data for basic topic extraction. Apply graph mining techniques to analyze relationships in social interactions. Run an undergraduate programming competition to uncover and analyze relationships in employee roles based on application and social network usage. Apply Markov Chain and Hidden Markov Models to a big data-type problem.
Finance And Legal Intern
Legal: Organized files and maintained contracts for 100 properties, ventures, deals, and investments. Retained records for new investments. Assisted attorneys to assemble legal documents, including loan applications, management / operating agreements, contract amendments, refinancing packages, asset transfers, and W-9 filings.Finance: Assisted with financial analysis and underwriting, including preparing pro forma financial statements for potential investments, analyzing interest rates, and preparing competitive analyses and demand projections.
John Gray education
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North Carolina State University
Frequently asked questions about John Gray
Quick answers generated from the profile data available on this page.
What company does John Gray work for?
John Gray works for Amazon Web Services (AWS).
What is John Gray's role at Amazon Web Services (AWS)?
John Gray is listed as Solutions Architect - Annapurna Labs - AWS Neuron, Trainium and Inferentia at Amazon Web Services (AWS).
What is John Gray's email address?
AeroLeads has found 1 work email signal at @maxpoint.com for John Gray at Amazon Web Services (AWS).
Where is John Gray based?
John Gray is based in Seattle, Washington, United States while working with Amazon Web Services (AWS).
What companies has John Gray worked for?
John Gray has worked for Amazon Web Services (Aws), Cisco, Maxpoint, Laboratory For Analytic Sciences, and Concord Hospitality Enterprises.
How can I contact John Gray?
You can use AeroLeads to view verified contact signals for John Gray at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.
What schools did John Gray attend?
John Gray holds Bachelor'S Degree, Mathematics And Computer Science from North Carolina State University.
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