Stephen Karanja

Most automation projects fail because they're built by people who understand either the technology or the business, rarely both.

I've spent 7+ years building production automation systems at the intersection of AI and revenue operations, LLM-powered workflows, RAG pipelines, lead enrichment engines, web scraping infrastructure, and end-to-end GTM systems that generate and qualify pipeline at scale.

What I work with: n8n, Python, FastAPI, PostgreSQL, HubSpot, Claude/OpenAI APIs, Apify, Supabase, Docker, GCP, Power BI

What I've actually built:

• Multi-layer lead enrichment pipelines integrating Hunter, Snov, Apollo, and RocketReach with LLM validation and confidence scoring
• Production AI automation systems processing enterprise-scale ML data operations
• GTM automation engines covering lead discovery, scoring, CRM sync, and outreach sequencing end-to-end RAG systems, and AI agents deployed in live business workflows
• I lead cross-functional teams and communicate directly with stakeholders.

I can hold a technical architecture conversation and a strategy conversation in the same meeting.

Currently open to remote AI Automation, GTM Engineering, and Revenue Operations roles with global teams.

If you're building something that needs intelligent automation behind it - let's talk.

📩 [email protected] 🌍 Nairobi, Kenya · Open to remote worldwide