Rajasekar M

• Architected a clinical trial management platform on Health Cloud for a US medical device company, integrating internal LWC interfaces and external Next.js/React dashboards via Salesforce External Client App Credentials.
• Pioneered AI-first development using Agentforce, Claude Code, MCP servers, and agentic frameworks, reducing multi-week feature development cycles to single-day deployments.
• Engineered multi-agent orchestration with deterministic guardrails governing Salesforce read/write permissions, CI/CD pipelines, and token-optimized prompt routing, utilizing data grounding and RAG for responsible AI outputs.
• Delivered enterprise identity and calendar federation, resolving native Salesforce Activity object limitations through custom Screen Flows, Microsoft Graph API, and Azure AD SAML SSO.
• Mentored junior engineers through technical design reviews focused on scalable architecture and test-driven development.

• Engineered high-volume, HIPAA-aligned data architectures handling millions of records for enterprise Health Cloud and Nonprofit Cloud clients, using asynchronous Apex, Platform Events, and the Trigger Actions Framework.
• Designed bulkified flows and external processing pipelines optimized for governor limits and high-traffic performance across Sales Cloud, Service Cloud, and Health Cloud deployments.
• Built real-time SAP–Salesforce integrations via custom REST APIs, powering an event-driven Sales Cloud and Service Cloud dealer management system for an Indian EV OEM.
• Refactored legacy codebases and eliminated technical debt, driving Apex test coverage from 50% to 85%, and executed complex data migrations for a US Nonprofit Cloud CRM.

Orglore · Full-stack SOQL productivity SaaS

• Engineered a full-stack SOQL productivity application from zero to a functional MVP using Next.js, Supabase, and Vercel.
• Implemented Salesforce OAuth, multi-tenant workspaces, and schema-driven autocomplete.