Accelerate Your AI Journey with Expert Guidance
Work one-on-one with practicing AI Research and Data Scientists at SeqHub in our selective 5-week Mentor Guided Experience. This immersive program pairs ambitious high school and undergraduate students with industry professionals who will guide you through real-world AI projects and cutting-edge research.
Program Overview
Admitted students collaborate with an assigned mentor to create a personalized learning path focused on:
-
Contributing to an existing SeqHub research project, or
-
Designing and building a new project aligned with their interests and goals
Through this hands-on experience, you'll gain practical skills in AI development, research methodologies, and collaborative workflows used by professionals in the field. Our mentors bring diverse perspectives and expertise in areas ranging from natural language processing to healthcare applications and multi-agent systems.
Target participants:
High school students (grades 10-12) and undergraduates with relevant programming experience
Program Details
Duration:
5 weeks of intensive mentorship
Start dates:
Flexible entry between June 23–August 17, 2025
Investment:
$4,500
Time commitment:
8-12 hours per week including mentor sessions, project work, and demos
Program Outcomes
By the end of this 5-week experience, you will:
Develop technical skills in machine learning, NLP, or AI systems
Build a portfolio piece that demonstrates your capabilities
Complete a meaningful AI project with real-world applications
Receive personalized feedback and guidance from industry professionals
Establish connections with like-minded peers and potential mentors
Gain insights into AI research methodologies
Program Structure
Three weekly 1-on-1 sessions with your assigned mentor (approximately 3 hours total per week)
Weekly Cohort Demo Days (minimum 3 during the program) to present your work and receive feedback from peers and other mentors
Access to a live short course of your choice and its synchronous sessions
Customized learning path tailored to your experience level and project goals
Final project showcase in the last week of the program
Application Process
1 on 1 with mentors: with potential mentors to ensure a good fit
Project planning to establish goals and milestones before your start date
Mentor matching based on your interests and their expertise
Submit application form including your background, areas of interest, and programming experience
Applications are reviewed on a rolling basis, with decisions typically made within 7 days.
Meet our Mentors
Our mentors are active data scientists, machine learning engineers, and researchers at SeqHub Analytics who bring diverse expertise and Nigerian perspectives to AI development. Each mentor leads projects that admitted students can contribute to during their 5-week experience.
Adejumobi Joshua,
AI Research & Data Scientist at SeqHub
A top Computer Science graduate with notable contributions to Natural Language Processing research, Adejumobi's work on the Yoruba Retrieval Augmented Generation project was recognized at the African Natural Language Processing Workshop at the International Conference on Learning Representations 2024. At SeqHub, she focuses on information retrieval and auditing Large Language Models for bias, including projects that examine how these models respond to racially and gender-coded inputs in healthcare and hiring contexts.
Project Opportunity
Bias Detection in AI Systems
Enrolled students will get access to the 'Exploring Algorithmic Bias' course.
Contribute to ongoing research evaluating bias in Large Language Models across various applications
Help develop testing frameworks and evaluation metrics
Analyze results and propose mitigation strategies
Prerequisites:
Python proficiency, basic understanding of Natural Language Processing concepts
Tools You Will Use:
Python data science stack, Google Colab, Git/GitHub
Dare Ezekiel,
AI & Backend Developer at SeqHub
An accomplished Software Engineer with degrees in Electrical & Electronics Engineering and Computer Science, Dare’s expertise spans machine learning optimization, intelligent data pipelines, and scalable backend architecture. At SeqHub, Dare develops AI-driven applications for real-world impact with expertise in LLMs, Retrieval-Augmented Generation (RAG), and intelligent systems for healthcare solutions.
Project Opportunity
AI-Powered Chatbot for Sickle Cell Anemia Support
Enrolled students will get access to the 'Using AI to build AI-powered applications' course.
​
Develop an intuitive interface for a medical support chatbot
Implement Retrieval-Augmented Generation for delivering evidence-based health information
Create systems for symptom tracking and management guidance
Prerequisites:
Basic HTML/CSS, familiarity with prompt engineering
Tools You Will Use:
GitHub, Google Colab, language model frameworks
Alexander Ifenaike,
AI Research & Data Scientist at SeqHub
A First Class Petroleum Engineering graduate and Award-winning researcher who recently received First Place in the Bachelor of Science Category of the Society of Petroleum Engineers International Student Paper Contest for his work on "Optimizing COâ‚‚ Sequestration using Machine Learning"—making history as the first student from the Africa Region to win in this division. At SeqHub, Alexander specializes in developing multi-agent AI systems that solve complex problems in healthcare and service delivery.
Project Opportunity
Multi-Agent AI System for Pharmacy Management
Enrolled students will get access to the 'Using AI to build AI-powered applications' course.
​
Design AI agents for diagnosis assistance and prescription processing
Implement Retrieval-Augmented Generation for medical information retrieval
Create interfaces for telemedicine integration and inventory management
Prerequisites:
Basic Python, HTML/CSS, and familiarity with language models
Tools You Will Use:
FastAPI, PostgreSQL, language model orchestration frameworks
