Hussein Labib

Optimizing AWS Cloud Infrastructure.

• Achieved a 12% year-over-year increase in energy efficiency per scaling unit by proactively addressing constraints around energy, carbon, water, and rack space, we were able to significantly improve the energy efficiency of our AWS cloud infrastructure on a per-unit scaling basis.
• Improved constraint per exabyte by 9% through optimization efforts, we were able to increase the amount of data we could store and process per exabyte of capacity, improving the overall efficiency and utilization of AWS resources.
• Our targeted enhancements to the software, hardware, and networking components of our AWS infrastructure led to a 4% reduction in operational failures and offline capacity, improving the overall reliability and uptime of our cloud services.
• The efficiency gains realized across our AWS cloud infrastructure allowed us to significantly reduce both capital and operational expenditures, resulting in millions of dollars in annual cost savings.
• Built a custom software product to track and monitor the efficiency scores of our AWS services, correlating scaling and usage patterns with infrastructure growth. This provided valuable insights to further optimize our cloud operations.
• By deploying AI-powered analytics, we were able to identify and automate the mitigation of efficiency-related waste categories, contributing an additional 3% to our yearly storage business scaling.

• Achieved a 99.5% success rate in maintaining FedRAMP compliance across our Azure cloud services through rigorous monitoring, and proactive mitigation of any issues.
• Developed a streamlined process to build Azure regions for air-gapped cloud security, reducing the deployment timeline by 2 weeks. This enables leadership teams to make informed decisions on air-gapped data with aggregated regional insights, without the need for detailed information.
• Implemented a comprehensive vendor management program for Azure cloud infrastructure suppliers, ensuring supply chain resiliency through supplier scoring and qualification. Developed a new supplier score metric to assess and maintain Azure availability and resilience.
• Built an immutability feature to comply with the Microsoft JEDI DoD contract, which disables tampering and tracks any modifications to logs across all Azure services. This feature was later rolled out as a public offering to customers worldwide.
• Developed advanced capabilities to trace, identify, and proactively mitigate the activities of bad actors attempting to compromise our Azure cloud infrastructure.
• Onboarded large financial institutions, banks, and stock exchanges onto the Azure cloud platform, meeting their stringent requirements for cloud resiliency and economic stability.

• Developed advanced AI-powered systems to combat a wide range of harmful content, including hate speech, terrorism, graphic violence, pornography, suicide-related materials, and the trade of regulated goods. These systems leverage state-of-the-art computer vision, deep learning, natural language processing, and machine learning techniques.

Shipped custom machine learning platforms that can accurately detect violating content, and automatically take appropriate action. These systems have achieved an industry-leading detection rate of over 95%, and an action rate of over 91%.

• Implemented these AI-powered solutions to significantly reduce the manual effort and cost required for content moderation, achieving a 40% reduction in human actions and labeling.

• Designed an efficiency framework to closely monitor, identify, and address the key cost drivers, and opportunity costs associated with each violation category. This data-driven approach allows us to continuously optimize our strategies and investments.

• Maximize Amazon inbound fulfillment network throughput leading 5 teams and hiring best in class engineers and TPMs
• Reduce transportation cost per unit by 121 bps
• Maximize labor throughput in fulfillment centers by 12% through scheduling and prioritizing freight
• Shipped carrier central (carriercentral.amazon.com) to integrate WW carriers with Amazon fulfillment network
• Reduce lead time (VLT) from suppliers to warehouses by 1 day
• Improved customer promise and inventory out of stock through network real time visibility
• Secured investment and hired top talent engineers and TPMs to build transportation optimization teams

• Fighting denied party (terrorists, entities and embargoed countries) through realtime scanning of all financial, onboarding, business transactions
• Launched embargoed countries program WW, enforcing and complying with united states regulations and laws
• Shipped an ML based denied party detection system
• Launched human operations for taking actions against violators and drove down cost

• Shipped converged infrastructure (Software Defined Datacenter) that enables enterprises to deploy private and hybrid cloud in their datacenters
• Shipped storage replication (across ESXi, Hyper-V, Bare Metal)
• Shipped server profiles and service templates for ESXi Host, ESXi Cluster, Window, Linux, Hyper-V host, Hyper-V cluster across VMware (Brocade and Cisco), Microsoft (Brocade and Cisco) to reduce provisioning time by 86%

• Owned service health (Availability/Latency/Resiliency/Throttling across all encryption protocols) and Key/Secrets management automation
• Reduce signal to noise ratio across all Microsoft DCs by 14% through custom built events correlation engine and Gomez (Compuware) detection signals
• Shipped 'Perceived Impact Framework' to quantify impact on B2B businesses (e.g
• Mexican Government)
• Shipped throttling service to enforce tokens quotas on organizations and customers to protect DoS attacks
• Shipped self-healing, monitoring and auto remediation system(ADROCS) to reduce MTTR (Mean Time to Recovery) by 90+%
• Conducted periodic fire drills and datacenter fail-overs to measure and improve resiliency

• Shipped imaging, automated deployment and ticketing services for physical cloud infrastructure assets in Microsoft’s datacenters
• Reducing deployment cycle time, variations and errors by 11%
• Reducing imaging storage and bootstrap by 6%
• Shipped event correlation engine across event, alert, alarm, ticket and TSG (Troubleshooting Guidelines)
• Cut monitoring detection of sev 2 and Pri 1 by 24%
• Implementing emergency mass notification services (EMNS) load balancing across dell alertfind and MIR3 for all Microsoft intelligent notification services

• Shipped SQL Server modeling services (base domain library) that connects application lifecycle entities
• Versioning: Shipped modeling language (M) to track versions and allow clients to maintain backward compatibility in addition to revert back to older versions
• Geo-Scaling: shipped solution to enable Tier1 and enterprise customers to scale up their modeling service
• Security: Shipped access control service using tokens for every artifact in the model
• Localization: Shipped localization efforts across 8 languages
• Folder Pattern: shipped containerization of models within folders within SQL DB
• Sequencing: shipped patterns of execution for models

• Shipped online book library across 23 countries that enabled consumers to read and buy books online for Mohammed Bin Rashid (Ruler of Dubai) who invested $10B in Culture, Entrepreneurship, Employment, Knowledge and Education to introduce a future generation of regional leaders
• Shipped 25 customer solutions to activate prepaid, post-paid, transfer and payment for Nawras (First Mobile Number Portability implementation using .NET based implementation worldwide spanning messaging, core BSS and network integration)