AI Engineer · LLMs, Agents & Automation
I'm Andrew Joshua Adole — an AI Engineer specializing in LLM-powered agents, workflow automation, and computer vision. I design systems that capture leads, qualify them, and route them into the tools businesses already use, using n8n, APIs, and vector databases.
What I work with
From reasoning agents to the pipelines that carry their output into real business systems.
LLMs, AI agents, retrieval-augmented generation, and computer vision — from prompt design to model evaluation.
Building lead capture, qualification, and CRM routing workflows that run without manual handoffs.
Cleaning, exploring, and modelling data so the systems built on top of it behave predictably.
Shipping the applications and APIs that hold AI systems together in production.
Career so far
A self-directed path into AI engineering, built through diplomas, an internship, and hands-on projects.
Selected work
A mix of production automations and self-directed studies into model behavior.
An AI-powered lead management workflow capturing inquiries from Telegram and Google Forms into a centralized CRM, with agents that classify, score, and route each lead automatically.
Try it free — @Lead_gen77BotA conversational real-estate agent on Telegram that answers property inquiries, walks buyers through available listings, and qualifies interest before handing off to an agent — all through natural chat.
Try it free — @JOProperty_BotA conversational assistant giving farmers guidance on poultry management, disease prevention, and feeding — combining LLM reasoning with prompt engineering and knowledge retrieval.
A structured evaluation of large language models on locally relevant and general reasoning questions, analyzing hallucination patterns and confidence mismatch.
Real-time object detection using OpenCV and Ultralytics YOLO, processing live video for attendance monitoring and unfamiliar-visitor detection.
An AI-powered agent assisting with basic financial analysis, integrating data processing with reasoning to generate insight from financial inputs.
An automated bookkeeping assistant handling transaction categorization and structured data handling to speed up financial record-keeping.
A support vector machine model classifying breast cancer data, with feature analysis and evaluation against classification metrics.
An XGBoost regression model predicting house prices in Nigeria, with feature engineering and tuning to surface key pricing factors.
Foundations
Diploma in Software Engineering
Generative AI & Data Science
Diploma in AI & Machine Learning
B.Sc. Agricultural Science
Get in touch
I'm open to roles and projects in AI agents, workflow automation, and applied machine learning.
Whether it's an AI agent, an automated workflow, or a computer vision system — send a message and I'll get back to you directly by email.
Email me