Makia Eni Timothy

Makia Eni Timothy

AI & Software Engineer

Download CV

Intelligent Web Apps,
Expertly Engineered.

I build modern web applications and design custom AI solutions, specializing in LLM integrations, Retrieval-Augmented Generation (RAG), and full-stack development.

Leafy Mobile App

An offline-first Flutter mobile application for agricultural diagnostics, running an on-device TensorFlow Lite model for crop disease scanning.

“Eni delivered exceptional results that exceeded our expectations.”
Reviewer
Michael Chen
Leafy Mobile App
2026

Leafy Mobile App

An offline-first Flutter mobile application for agricultural diagnostics, running an on-device TensorFlow Lite model for crop disease scanning.

Project Details
ClientLeafy Agriculture
RoleMobile Developer & AI Engineer
ServiceMobile App & AI Development
About

Project Overview

Leafy is a mobile application built to identify plant diseases instantly without requiring internet connectivity. Using on-device machine learning, it serves farmers working in remote areas with zero connection.

Key Features

Edge Machine Learning: Runs an optimized TensorFlow Lite model locally on the user's phone for instant diagnosis.

Parallel Sync Engine: Automatically backs up local SQLite history logs to Firestore using asynchronous multi-lane uploads.

AI Advisory Chat: An integrated offline-friendly chat interface providing customized crop treatment protocols.

Gallery
Main Scanning Interface
On-Device Neural Network Inference
SQLite local sync status
Settings and profile
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