Tejash Shah — CTO
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)
Stackforce AI infers this person is a SaaS and Fintech expert with extensive experience in AI-driven solutions and scalable systems.
Location: Sammamish, Washington, United States
Experience: 20 yrs
Skills
- Engineering Management
- Aws
- Ai / Ml Solutions
- Product Delivery
- Cloud & Scalable Systems
- Operational Excellence
- Project Management
- Software Development
Career Highlights
- 19+ years of experience in engineering leadership.
- Proven track record in AI-powered solutions.
- Expertise in scaling global engineering teams.
Work Experience
Amazon
Engineering Leader (2 yrs 5 mos)
Engineering Leadership (9 yrs 7 mos)
Meta
Engineering Leader (1 yr 8 mos)
Progress Software
Sr. Software Engineer (3 yrs 5 mos)
Nevis Networks (India) Pvt. Ltd.
Software Engineer - II (1 yr 6 mos)
Cyberwerx Software Pvt. Ltd.
Software Engineer (1 yr 5 mos)
Education
MCA at Nirma University, Ahmedabad
BCA at Maharaja Sayajirao University, Baroda