Executive Product Leader & AI Platform Builder
Enterprise SaaS · Cloud · Data · AI-native & GenAI Platforms
I lead the strategy, design, and build AI-native platform products at the intersection of strategy, systems thinking, and hands-on execution. My work focuses on taking complex ideas from discovery to launch-ready, enterprise-grade products, combining executive product leadership with modern agentic product development workflows. I actively prototype AI-native systems to validate ideas, architectures, and user experiences.
- Lead AI platform and GenAI product strategy, from 0→1 to global scale
- Drive agentic product discovery and definition, including market research, competitive analysis, JTBD, and PRDs
- Design AI platform architectures with scalability, security, and trust built in
- Maintain hands-on fluency in AI-native, full-stack product development
- Build platforms that deliver measurable business outcomes for enterprise customers
Most active work is maintained in private repositories due to IP sensitivity and enterprise use cases. Below is a representative portfolio of recent platforms and products.
A next-generation observability platform built to support AI-native, cloud-native, and agentic systems.
Focus areas include:
- Unified telemetry across metrics, logs, traces, events, and AI signals
- AI-driven anomaly detection, root cause analysis, and proactive insights
- Observability for GenAI, agentic workflows, and autonomous systems
- Scalable, platform-first architecture designed for enterprise environments
AI-native governance and trust platform enabling safe adoption of GenAI across regulated and enterprise environments, with trust-by-design across policy enforcement, risk detection, and auditability.
An AI-native integration and orchestration platform designed to accelerate enterprise workflows across data, applications, APIs, and AI agents.
A cloud-native platform for collecting, correlating, and operationalizing network detection and response evidence across hybrid and multi-cloud environments.
An AI-powered intelligence layer for industrial and operational data, enabling real-time insights, anomaly detection, and decision intelligence.
A financial independence and decision intelligence engine focused on long-term planning, scenario modeling, and wealth outcomes.
My approach combines executive product leadership with hands-on AI-native building:
- End-to-end agentic product development, from discovery to launch-ready delivery
- Agentic workflows across research synthesis, PRDs, architecture, and development
- AI platform design focused on enterprise scalability, security, trust, and compliance
- Rapid prototyping and iteration to validate problem–solution fit before scaling
Tools accelerate outcomes. Judgment drives results.
- Product Discovery & UX Prototyping: Perplexity, Gemini, v0, Lovable, Replit
- Agentic Development & Engineering: VS Code, Claude Code, Cursor, Antigravity
- AI-Native Workflows: Agentic coding, Spec-driven development (SDD), AI-assisted testing, refactoring, documentation
🔒 Why most repos are private
- Enterprise IP and customer-sensitive workflows
- Early-stage AI platform experimentation
- Architecture and product concepts under active iteration
🔓 Access
- Product demos, walkthroughs, and deeper discussions are available on request
- 🌐 Website: https://rajesheaswar.ai
- 💼 LinkedIn: https://www.linkedin.com/in/rajesheaswar
I believe strong product leadership combines strategy, systems thinking, and hands-on building.