Executive Product Leader & AI Platform Builder
Enterprise SaaS · Cloud · Data · AI-native & GenAI Platforms · AI Agents

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.

This platform explores how AI agents can transform enterprise operations by automating complex workflows and enabling intelligent decision support.

The long-term vision is to build autonomous platforms capable of monitoring systems, diagnosing problems, and executing remediation actions with minimal human intervention.

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

An AI-native Site Reliability Engineering platform designed to enable autonomous operational intelligence across cloud-native environments.

Key focus areas:

• AI-driven anomaly detection and incident prediction
• Automated root cause analysis across metrics, logs, traces, and events
• Agentic remediation workflows and reliability automation
• Intelligent operational insights for distributed systems
• Platform architecture designed for enterprise-scale reliability engineering

A GenAI-powered service management and operations platform that reimagines IT service management using autonomous AI agents.

Capabilities include:

• AI-driven incident triage and classification
• Automated ticket resolution workflows
• Intelligent change management and operational insights
• Cross-system orchestration across enterprise infrastructure
• Agentic workflows for proactive IT operations

An enterprise AI platform for automated code translation and modernization, designed to help organizations migrate legacy systems and modernize engineering workflows.

Interactive Prototype https://v0-code-collab-enterprise-ai-code-t.vercel.app/

Core features include:

• AI-assisted code translation across programming languages
• Intelligent refactoring and modernization recommendations
• Developer collaboration and validation workflows
• Scalable platform architecture for enterprise engineering teams
• Accelerated legacy modernization initiatives

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.

Interactive Prototype https://v0-ai-canvas-zeta.vercel.app/

The goal is to enable enterprises to build intelligent, adaptive operational workflows across their technology stack.

A cloud-native platform for collecting, correlating, and operationalizing network detection and response evidence across hybrid and multi-cloud environments.

Interactive Prototype https://v0-cloud-native-evidence-fabric.vercel.app/

Focus areas include:

• unified security telemetry • evidence correlation • AI-assisted investigation • security analytics workflows

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 - BMAD, GSD methods), 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.