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Rahi Uppal
@rahi_uppal_
AI GTM Engineer
India
Inglés, Hindi, Punjabí
Sobre mí
I help teams in building automated Clay multichannel outbound system
spent over 2000+ hours bulding n8n workflows, deployed 100+ production ready workflow for small scale startups to large scale enterprise, that run 24x7 without human intervention and full automation.
Average shipping time of project is 10 hours
Habilidades
Rahi Uppal
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Implementación y despliegue de IA
I will build production ready enterprise automated workflows in n8n
Experiencia laboral
AI GTM Engineer
FullFunnel • Tiempo completo
Jul 2026 - Present • 4 mos
Building and optimizing revenue-driven AI Go-To-Market orchestration systems for a top-tier global RevOps organization. I develop fast-shipping, highly scalable agentic content generation and multichannel outbound automation pipelines using advanced AI models and webhooks to drive predictable startup growth.
AI GTM Engineer
Amply • Tiempo completo
Jul 2025 - Jul 2026 • 1 yr
First full-stack GTM engineering hire. I built an in-house Multichannel AI Orchestration system (Email, LinkedIn, WhatsApp) from scratch, reducing operational overhead by $1,000/month. • Integrated tech stacks across Smartlead, Clay, Apollo, HubSpot, and n8n via APIs and MCPs. • Scaled outbound motions to consistently book 10-15 qualified B2B meetings per month through automated non-voice channels. • Engineered revenue-driven systems and executed an end-to-end SEO/AEO-optimized website transformation.
AI Automation Engineer
Full Stack Venture Builder & Startup Accelerator in India • Tiempo completo
Dec 2024 - Jul 2025 • 7 mos
Designed and deployed a cost-efficient cold email infrastructure that reduced operational costs by 90%. • Built a high-deliverability email system achieving 90–100% inbox placement, a 50% open rate, and a 1% reply rate. • Developed an end-to-end WhatsApp Business API (WABA) messaging and lead-nurturing pipeline with deep analytics, optimizing engagement while cutting per-message costs by 90%. • Laid the foundation for GenAI-powered workflow systems by training internal teams.
