Eragba Godswill

Available to hire

AI Developer & Engineer | LLMs, n8n Automation & Custom AI Solutions I help businesses scale, cut costs, and automate complex workflows by building production-ready AI systems.

About

AI Developer & Engineer | LLMs, n8n Automation & Custom AI Solutions

I help businesses scale, cut costs, and automate complex workflows by building production-ready AI systems. Clients often bring me in when they need to transition from an abstract concept to a fully functional, secure AI integration.

My core focus lies in deploying large language models (LLMs), building robust Retrieval-Augmented Generation (RAG) pipelines, and setting up intelligent autonomous agents.

Whether you need a fine-tuned predictive model or a seamless API integration into your existing tech stack, I build secure, scalable code designed to drive measurable business revenue.
• Core Tech: Python, PyTorch, TensorFlow, LangChain, LlamaIndex, OpenAI API, Hugging Face
• Services: Custom LLM fine-tuning, automated RAG pipelines, predictive analytics, AI agent architectures

Let’s turn your data into an automated asset. Send me a message detailing your project scope to get a technical breakdown and cost estimate.

Languages

  • EnglishFluent

Industry experience

  • Computers & Electronics
  • Software & Internet
  • Other

More experts

Projects · 2

Autonomous Financial & Operational Data Synchronization Engine

• The Problem: The client's operations team spent 15+ hours every week manually copying, formatting, and validating incoming vendor records across spreadsheets and internal databases, leading to frequent human entry errors. • The Solution: Built an automated, event-driven workflow using n8n and Python. When new documents or records arrive, an AI extraction node parses the unstructured data, validates fields against business rules, and automatically syncs clean entries into Google Sheets and the client's CRM. • Key Impact: Saved 60+ hours per month in manual labor and reduced data entry discrepancies to 0%. • Tech Stack: n8n, Python, OpenAI API (Structured Outputs), Google Sheets API, PostgreSQL

  • AI Developer
  • AI Engineer
  • Software Engineer

Developed and deployed a robust financial data automation workflow using n8n to synchronize real-time stock prices on a daily schedule. The pipeline automatically monitors a target Google Sheet containing a dynamic list of stock tickers, fetches live market valuation metrics via the Marketstack API, and updates the spreadsheet with the latest asset prices.

Built with scalability in mind, the data pipeline dynamically loops through an indefinite number of rows, ensuring seamless execution whether processing a handful of assets or a large, expanding financial portfolio. This custom solution completely eliminates manual tracking, minimizes data entry errors, and provides an instantly updated, reliable financial dashboard.

• Workflow Type: Data Engineering & Financial Automation
• Trigger Schedule: Daily (Automated Cron/Schedule Trigger)
• Core Nodes Used: Google Sheets Node (Read/Write), Marketstack API (HTTP Request), Loop/Data Transformation Node
• Key Tags: n8n Automation, Financial Tech, API Integrations, Data Pipelines, Google Sheets API

Automated Daily Financial Market Data & Google Sheets Synchronization Pipeline
  • AI Developer
  • AI Engineer
  • Software Engineer

Work experience

Software and Automation Engineer · FreelanceMay 2023 – Present · 3 yrs 7 mos

• Architected custom RAG (Retrieval-Augmented Generation) systems for Nigerian fintech and e-commerce platforms, optimizing local customer support workflows and reducing response latency. • Built autonomous AI agents using LangChain and Python to automate multi-vendor data aggregation and financial reconciliation, cutting manual processing times by 50%. • Consulted for local SMEs and startups looking to integrate OpenAI and Anthropic APIs into their existing web applications securely and cost-effectively given FX budget constraints. • Designed low-latency backend architectures using FastAPI and Docker to ensure smooth AI model performance despite variable local network bandwidths.

Testimonials · 5.0 from 2 reviews

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