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KONGO Nancy Emmanuel

AI Referent · Automation & Operations Engineer · AI agents · n8n · Integration & training

I put AI to work, with method: I design agents and automations, integrate AI tools into business workflows, and train teams to use them. I've already designed and led an internal AI masterclass (7 modules) and built an agent-orchestration hub to automate content publishing.

AI Referent & trainer 7-module AI masterclass n8n · agents · automation
KE

How I apply AI

I start from the business need, identify the productivity gain, then ship the automation or agent that delivers it, and stay accountable for keeping it running. I strictly separate orchestration (n8n) from business logic (a decoupled API), for automations that are reliable, testable and reusable, not throwaway hacks. Priority on framing, documentation and training the teams.

Experience

AI Referent & Automation Since 2024
Webtinix · Brazzaville
  • Designed & led an internal AI masterclass (7 modules): LLM mental model, framing, prompting, context engineering, agent workflow (Claude Code), AI on legacy code, quality & security.
  • Produced reusable templates & founding documents to make AI output reliable; change management and team upskilling.
  • Daily integration of coding agents (Claude Code, Copilot) into development workflows.
  • Designed Orchestra, an agnostic automation hub (n8n + decoupled business API) for content publishing.
Fullstack Developer & Technical Referent Since 2022
Webtinix · Brazzaville
  • Solid engineering base behind the AI: REST APIs (NestJS, Fastify, Symfony), Next.js fronts, PostgreSQL, and a Python service (OCR). I code the integrations, not just wire them up.
  • Administration of self-hosted infrastructures (Docker, Traefik): I deploy and operate the services that run the automations.
KONGO Nancy Emmanuel · AI Referent & Automation Page 1 / 2

AI, agents & automation projects

Orchestra

Agents & automation
Agnostic hub · Docker

An automation hub I designed to automate content creation & social publishing: n8n orchestrates the “when”, a decoupled Fastify API keeps the “how”, Postiz publishes. Built to integrate models, tools and agent workflows.

→ Automated, reusable content publishing

Internal AI masterclass

Referent · Trainer
7 modules · change management

A full program for a disciplined use of AI in a company: from the LLM mental model to context engineering, from prompting to agent workflow, through quality & security. With the templates that make output predictable.

→ Teams trained & equipped for AI

Coding agents in prod

AI integration
Claude Code · Copilot · daily

Integration of latest-generation coding agents into dev workflows: framing, context engineering, reviews, and use on legacy code, for real, controlled productivity gains.

→ Faster dev, kept under control

Automated ops & infra

DevOps · Operations
Docker + Traefik · Linux

End-to-end scripted deployment (pre-checks, DNS, TLS, validation, maintenance) and self-hosted internal services (Dolibarr ERP, project management, mail): I optimize internal operations, not just the code.

→ Internal operations made reliable & automated

Mobembo

Proof: I ship to prod
Co-founder · live platform

A complete platform I architected and deployed (NestJS, Expo, Next.js, PostgreSQL). Proof that I master the full technical chain any serious automation rests on.

→ From idea to production · mobembo.cg

AI watch & innovation

Curiosity · Analysis
Ongoing

I test new AI technologies as they ship (models, tools, agents), assess their real value, then pass them on to the team. Analytical mindset, focused on concrete gains over hype.

→ The company keeps an edge

Soft skills

AutonomyAnalytical mindset InnovationBusiness understanding Change managementPedagogy Documentation rigorSolution-oriented

Education

Bachelor's in Computer Science
Institut des Sciences et Techniques Professionnelles (ISTP)
2020-2021
High-school diploma (Baccalauréat)
École Victor Hugo
2016-2017

Approach

AI only has value if it saves teams real time and holds in production. I aim for automations that are reliable, documented and adopted, never demos that break at the first edge case. Curious, I keep upskilling on agents, RAG and AI FinOps.

kined.dev@gmail.com · ki-ned.github.io/ki-ned Page 2 / 2