Tejash Shah

CTO

Sammamish, Washington, United States20 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 19+ years of experience in engineering leadership.
  • Proven track record in AI-powered solutions.
  • Expertise in scaling global engineering teams.
Stackforce AI infers this person is a SaaS and Fintech expert with extensive experience in AI-driven solutions and scalable systems.

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Skills

Core Skills

Engineering ManagementAwsAi / Ml SolutionsProduct DeliveryCloud & Scalable SystemsOperational ExcellenceProject ManagementSoftware Development

Other Skills

AI powered automationAPI DevelopmentAgentic AI DevelopmentAgile & Waterfall MethodologiesAgile MethodologiesAnalytical SkillsArtificial Intelligence (AI)AutomationBudgetingBuilding PerformanceBusiness Case PreparationBusiness PlanningBusiness ReviewsBusiness StrategyBusiness-to-Business (B2B)

About

Engineering leader with 19+ years of experience at Amazon and Meta delivering AI-powered conversational experiences, large-scale distributed systems and developer productivity tools. Proven track record leading multiple global teams of engineers and managers to ship mission-critical services for credit cards, core payments APIs, inventory database, developer platforms, infrastructure, enterprise systems, and cloud-native systems. Deep expertise in AI powered developer experiences, scalable architectures and operational excellence. Experienced in scaling engineering teams and partnering cross-functionally to deliver product growth and delight customers. Skilled at aligning engineering execution with business outcomes while fostering inclusive, high-performing teams. Patent holder for client-side inter-portlet communication. # Core Skills • Cloud & Scalable Systems: AWS, serverless, microservices, scalable distributed systems, real-time event systems • Operational Excellence: Incident management, monitoring/metrics (SLOs/KPIs), compliance, CI/CD automation • Leadership: Product strategy, cross-functional partnership, global team building • Product Delivery: Complex project execution, stakeholder alignment, customer-first design • AI / ML Solutions: AI powered automation, ML recommendations, MCP Server, developer productivity, Claude Code, Copilot, AI Agents • Cross-Functional Collaboration: Product, design, infra, and ops alignment • Culture & Growth: Hiring, developing senior engineers and managers, inclusive team environments • Technologies: React, JavaScript, TypeScript, SDKs, REST, Java, C++, UI/UX optimization, GraphQL, Kubernetes, AWS, Hibernate, PostgresSQL, ReactJS, OpenAI, Claude AI, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG)

Experience

20 yrs
Total Experience
3 yrs 6 mos
Average Tenure
2 yrs 5 mos
Current Experience

Amazon

2 roles

Engineering Leader

Promoted

Jan 2024Present · 2 yrs 5 mos

  • Built and scaled global teams delivering critical systems across Payments, Prime Video, Inventory, Returns, and Talent Systems.
  • Leadership: Recruited, mentored, and promoted senior engineers and managers; grew technical leaders.
  • AI Adoption: AI powered personalized growth engine to reduce time to productivity by 50%, delivered ML based recommendation engine serving micro-learnings to all employees. Conversational AI based growth plan.
  • Payments: Launched simplified APIs reducing processor integration time from 1 year to 90 days. Regionalized payment architecture for EU/India/China compliance, scaling multi-tenant architecture. Delivered small business credit card with Amazon ecosystem (US/UK), boosting registration conversion 3% to 11%. Reduced businesses onboarding time from 180 days to under 30 days, ML based deep learning for credit risk assessments, AI Agents and RAG powered stuck transactions resolution.
  • Operational Excellence: Drove adoption of full CI/CD pipelines, cutting deployment time 1 week to 1 day while maintaining high availability.
  • Scaling Inventory Database: Built scalable database for hierarchical inventory queries; cut DB load 70% to 10%, Delivered next-gen message bus for inventory/returns systems, reducing p99 latency from 30 mins to 500ms
  • Returns Automation: Launched 10+ decoupled tools enabling automation at scale from complicated single tool; improved return processing accuracy from 50% to 80%, ML based image processing for six-sided check.
Engineering ManagementBusiness PlanningCross-functional Team LeadershipDistributed SystemsAWSLeadership+8

Engineering Leadership

Aug 2012Mar 2022 · 9 yrs 7 mos · Greater Seattle Area

  • Provided invaluable support to multiple departments, including AWS Payments, Prime Video mobile app development & testing automation tools, small business credit cards, inventory services, and customer returns. Led and delivered long-term strategic plans and immediate tactical solutions.
  • Streamlined Payment Processing: Successfully supported launch of simplified AWS payment processing solutions, reducing time required for new payment processor development from 1 year to 6 months, and further reduced this time frame to just 90 days a year later.
  • Strategic Payment Architecture: Drove strategic plan to establish isolated payment-processing architecture for clients, ensuring Compute isolation and avoiding disruptions caused by other clients. This move was aimed at enhancing the success rate of payment for individual clients.
  • Played a pivotal Agile deployment role in reducing feature launch time from 2 week to just 1 day by enabling Full Continuous Deployment pipelines for over 70 services.
  • Successfully launched first small business integrated credit card application for Amazon Business in USA, integrated with American Express (Amex).
  • Improved Amazon Business's new customer registration conversion rate from 3% to 9% through integrated Amazon Business registration experience with small business card applications.
  • Oversaw launch of small business cards in the UK and significantly enhanced efficiency of launching these cards globally by reducing development efforts from 650 weeks to 170 weeks.
  • Spearheaded launch of next-generation inventory management database with hierarchical query support.
  • Improved inventory and containers notification system, reducing database load from 70% to just 10%.
  • Successfully led launch of 8 new decoupled return processing tools and backend services, enhancing overall flexibility and scalability of return processing.
Agile & Waterfall MethodologiesProject ManagementDefining RequirementsSoftware DevelopmentEngineering ManagementRelationship Building+42

Meta

Engineering Leader

Mar 2022Nov 2023 · 1 yr 8 mos · Greater Seattle Area

  • Led global frontend + infrastructure teams optimizing capacity, fulfillment workflows and regional traffic shifting.
  • Improved auto scaling ML model accuracy and neutrality (50% to 90% and 50% to 80% respectively).
  • Made regional traffic shifting nimbler by reducing time from 12 weeks to 2 weeks.
  • Cut fulfillment cycle from 16 weeks to 2 weeks by improving ML model to for scaling capacity and improving user-facing reliability and scalability.
Agile & Waterfall MethodologiesProject ManagementDefining RequirementsSoftware DevelopmentEngineering ManagementRelationship Building+34

Progress software

Sr. Software Engineer

Mar 2009Aug 2012 · 3 yrs 5 mos

  • Led delivery of high-level architecture, design, and delivery of Progress Control Tower (a centralized tool for analytics, event management, and alarming) as well as Sonic Workbench (a visual tool to build processes). Worked with project managers, peer developers, quality assurance and customers to resolve technical issues.
Agile & Waterfall MethodologiesProject ManagementProgram ManagementSoftware Product ManagementAnalytical SkillsSoftware as a Service (SaaS)+10

Nevis networks (india) pvt. ltd.

Software Engineer - II

Aug 2007Feb 2009 · 1 yr 6 mos

  • I have worked for the Nevis Networks India Pvt. Ltd. for 1 Year and 7 months. Hear I have worked as Software Engineer. My role is to generate functional specifications, design and develop the features for the NMS product called LANsight. In this product, I have worked on JAVA, J2EE, XML / XSL, SQL, flash, action script, javascript, HTML and UNIX technologies
SQLTechnical Design

Cyberwerx software pvt. ltd.

Software Engineer

Feb 2006Jul 2007 · 1 yr 5 mos

  • I have worked on Cornerstone product of client Stonewall Networks. Which is a platform to configure and manage security devices from multiple vendors like cisco, juniper, sonicwall, checkpoint etc.
  • In this project I have worked on JAVA, XML, XSLT, SQL, JSP, JAVACC, JMS and MySQL
Technical Design

Education

Nirma University, Ahmedabad

MCA — Computer Software Engineering

Jan 2003Jan 2006

Maharaja Sayajirao University, Baroda

BCA — Computer Software Engineering

Jan 2000Jan 2003

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