07/29/2026 updated

**** ******** ****
100 % available

Senior AI Automation Engineer

Lagos, Nigeria
Worldwide
B.S. in Computer Science
Lagos, Nigeria
Worldwide
B.S. in Computer Science

Profile attachments

Muraina Cv.pdf

About me

I help businesses like yours solve problems by automating systems, syncing platforms, and building smooth, reliable workflows that make everything run faster and easier.

AI AgentsJavaScriptApplication Programming Interfaces (APIs)AutomationMicrosoft Dynamics CRMPython (Programming Language)Office AutomationWorkflowsChatbotsPrompt EngineeringZapierNo-code ToolsCRM MarketingData PipelineAirtable
AI & LLM Engineering
Expertise in OpenAI and Anthropic APIs, prompt engineering, RAG pipelines, LangChain, agentic workflows, fine-tuning (LoRA), and vector databases such as Pinecone and Weaviate. Proven track record of designing and deploying LLM-powered systems in production environments.

Workflow Automation
Deep proficiency in n8n, Zapier, Make, UiPath, Python scripting, event-driven pipelines, and cron/orchestration with Airflow. Extensive experience building and shipping 20+ production automation workflows connecting Salesforce, Slack, and internal APIs.

Software Engineering & Cloud
Strong command of Python, JavaScript/TypeScript, REST and webhook APIs, SQL/PostgreSQL, Docker, Git, and CI/CD. Cloud experience spans AWS (Lambda, S3, EC2), GCP (Vertex AI), and Azure Functions.

RPA-to-AI Migration
Migration of legacy RPA workflows (UiPath) to AI-augmented pipelines, reducing maintenance hours by 65% and eliminating recurring failure points caused by brittle UI selectors.

RAG Pipeline Development
Design and deployment of RAG-based internal knowledge assistants over Confluence and Zendesk data, adopted by 140+ employees and reducing internal support requests by 30%.

OCR & LLM Data Extraction
Automation of invoice reconciliation using OCR combined with LLM extraction, processing $2.1M/month in transactions with 99.3% accuracy.

Monitoring & Alerting for Automation Pipelines
Implementation of monitoring and alerting for automation pipelines covering uptime, error rate, and cost-per-run, cutting silent failures to near zero.

Data Analytics & Dashboarding
Building of internal dashboards using SQL and Looker to track automation ROI, used in quarterly leadership reviews. Automated weekly reporting processes using Python and Zapier.

Stakeholder Discovery & Process Mapping
Collaboration with operations leadership to scope automation opportunities, delivering prioritized roadmaps and guiding multiple quarters of engineering work. Skills include cost/ROI analysis and technical documentation.

Experience

Professional experience5 - 10 years
Freelancer since2021

Languages

GermanBasic knowledgeEnglishNative speakerFrenchBasic knowledge

Project history

Senior AI Automation Engineer

Northbeam Analytics
Designed and deployed an LLM-based customer support triage agent (GPT-4 + n8n) classifying and routing 12,000+ tickets/month, cutting average response time from 4 hours to 22 minutes. Led migration of 15 legacy RPA workflows (UiPath) to AI-augmented pipelines, reducing maintenance hours by 65%. Built a RAG-based internal knowledge assistant over Confluence and Zendesk data, adopted by 140+ employees. Mentored 2 junior automation engineers and partnered with Finance to automate invoice reconciliation using OCR + LLM extraction, processing $2.1M/month with 99.3% accuracy.

AI Automation Engineer

Fieldwire Logistics
Built and shipped 20+ production automation workflows in n8n and Python connecting Salesforce, Slack, and internal APIs, saving an estimated 25 hours/week of manual work. Developed a document-classification pipeline using a fine-tuned classifier + GPT-3.5 fallback, reducing manual sorting of shipping documents by 80%. Implemented monitoring and alerting for all automation pipelines and collaborated with Ops leadership to deliver a prioritized automation roadmap.

Automation & Data Analyst

Fieldwire Logistics
Automated weekly reporting processes using Python and Zapier, reducing report preparation time from 6 hours to 15 minutes. Built internal dashboards (SQL + Looker) to track automation ROI used in quarterly leadership reviews. Identified and scoped the first LLM pilot project at the company, which became the basis for the AI Automation Engineer role.

Contact form

Log in to get in touch

You need to be logged in to use the contact form.

Sign upLog in