Rashid Shaikh
AI-Native Engineering Systems Architect
Executive Summary
Engineering systems architect specializing in AI-augmented delivery operating models for scaling SaaS organizations.
Partnering with CTOs and VP Engineering leaders to modernize execution systems for AI-accelerated development environments balancing velocity, governance, predictability, and cross-functional alignment.
Experience spans HIPAA-regulated healthcare SaaS, distributed US and India engineering environments, and multi-tenant cloud platforms. Currently designing and operationalizing AI-native engineering orchestration systems through Coach Sensai.
Professional Experience
CEO & Co-Founder
Designing and implementing AI-native engineering execution systems for modern SaaS teams.
- Architected AI-augmented engineering operating systems integrating JIRA, GitHub, and Slack via MCP.
- Designed structured governance models for AI-generated artifacts (requirements, code, review, release).
- Built modular multi-agent orchestration frameworks enabling stateful coordination and audit-ready traceability.
- Implemented execution visibility systems improving sprint predictability.
- Partnered with executive leadership to redesign operating models for AI-accelerated environments.
Head of Engineering
Led engineering for a circular e-commerce and logistics platform eliminating single-use packaging.
- Architected AWS-based, event-driven SaaS platform supporting 100K monthly users.
- Designed execution frameworks aligning product, engineering, and sustainability objectives.
- Established CI/CD and multi-environment deployment discipline.
- Implemented operational dashboards and impact metrics (EcoStats).
Founding Engineer
Engineering leader building HIPAA-compliant remote patient monitoring platform.
- Architected multi-tenant RBAC SaaS system across seven microservices.
- Designed event-driven cloud architecture supporting 50,000+ patients.
- Delivered COVID-response monitoring system in 3 weeks under crisis constraints.
- Led distributed engineering team and contributed to scale-readiness during acquisition.
Earlier Experience
Operated within enterprise governance environments building secure healthcare systems.
Specialization
- AI-Integrated Operating Models
- Delivery System Redesign
- Multi-Agent Orchestration
- Governance-by-Design
- Distributed Team Architecture