Lech Iyoko
AI Engineer | Applied NLP & Computer Vision
My Professional Focus
I aim to build intelligent AI systems tailored to specific industry needs. I focus on bridging the gap between cutting-edge AI and practical application, enabling businesses and organisations to automate, optimise, and innovate effectively.
Mission Statement
"Advancing industries and society through AI-driven innovation, enhancing operational efficiency, and shaping a smarter future."
Inspired by my experiences growing up in a developing country, Omni AIR is my long-term vision, a platform dedicated to leveraging AI to bridge technological gaps. The goal is to help businesses build AI-driven systems, automate complex workflows, optimize decision-making, and drive meaningful innovation.
"Join me on my journey into AI engineering. Browse my projects, research, and insights below!"
About Me
👋 Hi, I'm Lech Iyoko!
An AI Engineer honing my expertise in Natural Language Processing (NLP) and Computer Vision, with a future focus on Robotics after completing my master's degree. My goal is to develop AI-driven solutions that bridge technological gaps and create tangible, real-world impact.
My Journey into AI
Growing up in a developing country, I saw firsthand how limited access to technology impacted the quality of life. This fueled my decision to pursue a bachelor's degree in Mechatronics and Robotics, seeking ways to integrate automation into daily life. However, I soon realised that the true potential of AI extends far beyond simple automation. Today's most impactful tools are products of HUMAN INGENUITY, and I believe the primary purpose of AI should be to supplement and augment that intelligence. Helping us solve persistent problems and build more equitable societies.
Despite its potential, advanced AI remains inaccessible to many industries, limiting innovation. This gap is what inspires me to dive deep into AI, not just as a field of study, but as a means to drive real-world change.
What Drives Me?
- 🚀 Advancing AI to enhance human potential
- 🛠Building intelligent systems that automate, optimize, and enhance decision-making
- 🧠Exploring cognition, perception, and reasoning to build smarter AI
- 🤖 Bridging NLP, Computer Vision, and Robotics to create truly multimodal AI solutions
The question is no longer if AI will transform our world, but how we can best build and utilize this technology for the common good. My goal is to be at the forefront of this transformation, shaping an intelligent and responsible future, one model at a time.
Projects
Explore my latest work in AI, data science, and machine learning.
🤖 Meo - Personalized AI Health Assistant
📌 Description:
A production-ready, conversational AI system designed to provide users with personalized, evidence-based information about metabolic health. The project was built from the ground up with a modular, API-driven architecture.
🛠Tech Stack:
🔬 Symptom-to-Condition Classifier
📌 Description:
Engineered an end-to-end machine learning pipeline to classify medical conditions from textual symptom descriptions. This project showcases a robust, data-centric approach, beginning with a critical pivot from a noisy, heuristically-labeled dataset to a high-quality public dataset, which improved model performance by over 40 F1 points. The final implementation uses a powerful hybrid model, combining Bio_ClinicalBERT for feature extraction with a LightGBM classifier.
🛠Tech Stack:
âš¡ Global Energy Trend Analysis
📌 Description:
A data-driven analysis of global energy trends, focusing on renewable energy adoption rates, regional contributions, and future projections to support informed decision-making.
🛠Tech Stack:
🔧 Predictive Maintenance & Compliance Risk Assistant
📌 Description:
Participated in a hackathon as a Backend/API Developer to develop a scalable AI system for predictive maintenance and compliance regulation checking in nuclear operations.