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Neeraj Sharma

Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems

Sammamish, WACo-Founder & CTO19 years experienceExecutiveTechnologyArtificial IntelligenceCloud Computing
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About

Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.

Experience

Co-Founder & CTOIntalent.ai
VP, Head of EngineeringAmerican Eagle Outfitters (AEO)
VP, Head of EngineeringQuiet Platforms
Head of Engineering – Container NetworkingAmazon Web Services
Head of Engineering – Alexa ML PlatformAmazon
Sr. Engineering LeadMicrosoft

Education

Institute of Engineering & Technology, Indiabachelor, Computer Science & Engineering

Key Strengths

  • Defined and executed multi-year enterprise commerce transformation roadmap aligned to business growth (international expansion, personalization, omnichannel)
  • Secured board and executive buy-in using data-driven evaluation framework and financial model; obtained multi-year funding with external (BCG) review
  • Improved reliability from 98.5% to 99.9% uptime for core services; tracked latency/TTFB improvements
  • Scaled experimentation from 6 to 234 experiments across digital/stores/mobile, attributing ~$200M revenue growth and ~2% overall conversion lift (7% in men’s segment)
  • Scaled engineering org from 6 to 80 at Alexa; implemented OKRs, operating mechanisms, and strong SDLC practices to maintain alignment
  • Led major platform architecture enabling velocity increase from 1.5 to 30 features/week while transitioning to DNNs/large models
  • Built scalable ML/workflow platform with declarative workflows, lineage tracking, containerized stateless workers, and domain-decoupled evaluation; supported personalization for 300M users and 500K developers

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Languages

English

Skills

AI AgentsAgileAPI IntegrationApp MeshArchitectureASR (Automatic Speech Recognition)ATS (Applicant Tracking Systems)AWS Cloud MapAWS Container NetworkingAWS ECSAWS EKSAWS FargateAWS LambdaAWS LatticeAWS Lex