Open to opportunities

Emmanuel Yakubu

@emmanuelyakubu

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Software Engineer specializing in Machine Learning and AI solutions.

Rwanda

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What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and growth in AI and software development.

I am a dedicated Software Engineer with a strong focus on Machine Learning and Artificial Intelligence. My recent experience includes architecting and deploying a CNN-based disease detection system at Smartel, where I achieved an impressive 98% accuracy by analyzing over 10,000 plant images. I engineered an automated image preprocessing pipeline that significantly reduced training time by 40%, enhancing feature extraction and overall model performance.

In addition to my technical skills, I have developed a scalable FastAPI microservice capable of handling over 200 concurrent requests, enabling real-time disease diagnosis through mobile app integration. My projects, such as the TenGo Full-Stack Food Delivery Platform and CropBot Agricultural AI Assistant, showcase my ability to create responsive applications and intelligent chatbots that provide accurate disease identification and treatment recommendations.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Smartel

Mar 2023 - Apr 2023 (1 month)

Architected and deployed a CNN-based disease detection system using TensorFlow, analyzing over 10,000 plant images with 98% accuracy. Developed an automated image preprocessing pipeline that reduced training time by 40% and engineered a FastAPI microservice for real-time disease diagnosis.

TensorFlow fastAPI Python CNN Image Processing Machine Learning Docker SQL

Full-Stack Developer

TenGo

Mar 2023 - Apr 2023 (1 month)

Engineered a responsive React.js frontend and Node.js/Express backend for a food delivery platform. Implemented secure payment processing and RESTful API integration for real-time order tracking using PostgreSQL and Docker.

React Node Express PostgreSQL RESTful APIs Docker HTML CSS JavaScript Payment Processing

AI Developer

CropBot

Mar 2023 - Apr 2023 (1 month)

Developed an intelligent agricultural chatbot using Python and TensorFlow for accurate recognition of crop disease queries. Fine-tuned NLP models achieving over 95% accuracy and built an interactive web interface using Streamlit.

Python TensorFlow NLP Streamlit BERT Machine Learning Chatbot Development Data Analysis Web Development

Data Scientist

Credit Card Loan Verification System

Mar 2023 - Apr 2023 (1 month)

Built a predictive machine learning model using scikit-learn for automated loan approval decisions. Performed data preprocessing and model evaluation, achieving 85% prediction accuracy.

scikit learn Machine Learning data preprocessing Model Evaluation Flask Python Prediction Accuracy Data Analysis Automation

Education

Degrees, certifications, and relevant coursework

African Leadership University

Bachelor of Science, Computer Science

2022 - 2025

Architected and deployed a CNN-based disease detection system using TensorFlow that analyzed 10,000+ plant images with 98% accuracy. Engineered an automated image preprocessing pipeline that reduced model training time by 40% while improving feature extraction.