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Lateef Olatunji
Open to Work
Available for research & collaboration

Lateef Oluwatobi
Olatunji

@Relixsx· ML Engineer· AI Researcher· Electrical Engineer

Building intelligent systems that solve real problems in healthcare,
energy, and infrastructure — from research to production.

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01

EXPERIENCE

CURRENT
2022 — Present
Electrical Engineer
Transmission Company of Nigeria (TCN) · Nigeria

Planning, maintenance, and optimization of high-voltage transmission infrastructure across Nigeria's national grid. Applies data-driven diagnostics and sensor analytics to improve grid reliability and reduce downtime across critical substations.

Key Achievements
High-voltage transmission planning across Nigeria's national grid
Data-driven diagnostics and sensor analytics for grid reliability
Reduced critical substation downtime through predictive maintenance
Technologies Used
Power SystemsGrid OptimizationSCADAHV TransmissionFault Diagnosis
CURRENT
2023 — Present
AI Engineer
Freelance · Remote

Designs and deploys end-to-end ML pipelines for clients across medical AI, energy, and fintech. Delivers production-grade models with FastAPI backends, React dashboards, and Grad-CAM explainability modules on tight delivery cycles.

Key Achievements
Deployed DenseNet-121 breast cancer classifier with 97%+ accuracy
Built LSTM/CNN-LSTM pipeline leak detection system for oil & gas
Delivered production FastAPI + React dashboards across multiple domains
Technologies Used
PyTorchFastAPIReactCNN / LSTMGrad-CAMHuggingFace
2022
Electrical and Automation Engineer Intern
SanVerad Nigeria Limited · Nigeria

Supported engineering operations across electrical and automation systems. Gained hands-on experience with industrial control systems, PLC programming, and instrumentation in a production environment.

Key Achievements
Hands-on experience with industrial control systems and PLC programming
Instrumentation and sensor calibration in a production environment
Supported electrical system maintenance and automation workflows
Technologies Used
AutomationPLCInstrumentationElectrical SystemsControl Systems

02

PROJECTS

← SWIPE TO EXPLORE →

Medical AI Pipeline
DenseNet-121 Breast Cancer Classifier

Production-grade histopathology image classification using DenseNet-121 with transfer learning on BreaKHis. FastAPI backend, 19-test pytest suite, and Grad-CAM heatmaps for clinical decision support.

KEY ACHIEVEMENTS
  • 97%+ accuracy across binary & multi-class tasks
  • Grad-CAM heatmaps for pathologist explainability
  • FastAPI REST layer with 19-test pytest suite
  • Batch inference and real-time classification endpoints
PyTorchDenseNet-121FastAPIGrad-CAMPython
📈
97%
Accuracy Score
PipeGuard AI
LSTM / CNN-LSTM Pipeline Leak Detection

Oil & gas SCADA pipeline leak detection using LSTM and CNN-LSTM hybrid architecture. Real-time React dashboard with multi-sensor data fusion and adaptive threshold alerting.

KEY ACHIEVEMENTS
  • LSTM & CNN-LSTM hybrid for temporal anomaly detection
  • Multi-sensor SCADA data ingestion pipeline
  • Real-time React dashboard with alert system
  • Adaptive leak severity classification engine
LSTMCNN-LSTMSCADAReactPython
📈
<2%
False Alarm Rate
RialoLens Adventures
Gamified Blockchain Learning Platform

Full-stack gamified learning platform for the Rialo blockchain ecosystem. React + FastAPI + Neon PostgreSQL on Railway with OAuth, JWT auth, XP mechanics, and iteratively debugged quiz engine.

KEY ACHIEVEMENTS
  • OAuth + JWT auth with session persistence
  • PostgreSQL on Neon DB + Railway deployment
  • XP, streaks & leaderboard quiz engine
  • Full Vercel + Railway deployment pipeline
ReactFastAPIPostgreSQLJWTBlockchain
🎮
XP
Gamified Learning
OptiSub
AI Subscription Optimization Platform

Full-stack AI platform chaining Isolation Forest, KMeans, Prophet, and PuLP across anomaly detection, segmentation, forecasting, and cost optimization with blockchain integration.

KEY ACHIEVEMENTS
  • 4-model ML chain: anomaly → cluster → forecast → optimize
  • Prophet time-series revenue forecasting
  • PuLP linear programming cost optimization
  • Blockchain audit trail integration
ProphetKMeansPuLPReactBlockchain
📈
ML Models Chained
RialoLens AI Explainer
Audience-Tailored NLP Content Engine

Streamlit NLP app using FLAN-T5 and DistilBART to generate audience-tailored blockchain concept explanations. Adjusts reading level per persona from beginner to expert.

KEY ACHIEVEMENTS
  • FLAN-T5 + DistilBART dual-model pipeline
  • Audience persona-aware content generation
  • Zero-shot blockchain concept explanation
  • Streamlit UI with streaming generation
FLAN-T5DistilBARTStreamlitNLPHuggingFace
🤖
NLP
Audience-Adaptive

03

RESEARCH

Breast Cancer Detection Using Convolutional Neural Networks on Histopathology Images
PUBLISHED · EKITI STATE UNIVERSITY · BIOMEDICAL AI · CNN / TRANSFER LEARNING
Investigates deep learning approaches for automated breast cancer classification using whole-slide histopathology image patches. Employs DenseNet-121 with transfer learning on the BreaKHis dataset, achieving state-of-the-art accuracy across binary and multi-class tumor subtype identification. Introduces clinical explainability via Grad-CAM heatmaps to support pathologist decision-making.
97%+
ACCURACY
CNN
ARCHITECTURE
XAI
GRAD-CAM
2
CLASS TASKS

04

STACK

Skills & Expertise

Technologies I've worked with in real-world projects and professional environments

Programming & Analytics
PythonC++ JavaScriptTypeScript SQLMATLAB PandasNumPy Scikit-LearnSciPy
Machine Learning & AI
PyTorchHuggingFace CNN / LSTMDenseNet-121 Grad-CAMProphet Deep LearningNLP Transfer Learning
AI Agents & Automation
LLM Integrations RAG Pipelines AI Automation FastAPI REST APIs Isolation Forest PuLP Optimization
Frontend & Visualization
ReactNext.js Tailwind CSSStreamlit TypeScriptRecharts MatplotlibSeaborn
Databases & Cloud
PostgreSQLNeon DB MySQLMongoDB JWT / OAuthDocker RailwayVercel
Electrical & Power Systems
Power SystemsSCADA HV TransmissionPLC AutomationInstrumentation Fault DiagnosisBlockchain

05

CONTACT

Get in Touch

Let's Build Something Intelligent

Have a project idea? Need an ML pipeline, AI solution, or power systems expertise?
I'm always excited to discuss new opportunities and challenges.