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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.
Flexible entry between June 28–August 17, 2025
5 weeks of intensive mentorship
8-12 hours per week including mentor sessions, project work, and demos
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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
Demo Day:
Thursday - 9:30am - 11:30am EST
Program Structure
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Three weekly 1-on-1 sessions with your assigned mentor (approximately 3 hours total per week)
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Weekly Cohort Demo Days (minimum 3 during the program) to present your work and receive feedback from peers and other mentors
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Access to a live short course of your choice and its synchronous sessions
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Gain insights into AI research Customized learning path tailored to your experience level and project goals
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Final project showcase in the last week of the program
Program Outcomes
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Complete a meaningful AI project with real-world applications
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Develop technical skills in machine learning, NLP, or AI systems
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Build a portfolio piece that demonstrates your capabilities
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Gain insights into AI research methodologies
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Receive personalized feedback and guidance from industry professionals
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Establish connections with like-minded peers and potential mentors
Application Process
Applications are reviewed on a rolling basis, with decisions typically made within 7 days.
1 on 1 with potential mentors to ensure a good fit
Submit application form including your background, areas of interest, and programming experience
Project planning to establish goals and milestones before your start date
Mentor matching based on your interests and their expertise
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.
Julio Mansilla
Fullstack Developer at SeqHub
A Computer Science graduate from Southern Connecticut State University, Julio has spent over a decade teaching programming and software development to students of all levels—from K–12 to college graduates—many of whom now work at companies like Google, Datto, and other leading tech firms. He helped shape K–12 computer science curriculum in Connecticut as part of the state’s Tech Talent Advisory Committee and currently teaches at Pierrepont School.
Julio’s expertise includes full-stack development, server configuration, deployment workflows, and secure system design. He regularly works with technologies like Docker, remote command line tools, and database-driven web apps using Python and Java. He is the founder of Software Acceleration Labs & Tutoring, where he supports students across the Americas, Europe, and Asia. At SeqHub, he mentors learners through projects that emphasize clean architecture, real-world implementation, and creative problem-solving.
Project Opportunity
AI-Powered Business Intelligence Platform
Enrolled students will get access to the 'Using AI to build AI-powered applications' course.
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Contribute to the development of a full-featured platform designed to help companies manage logistics, invoicing, inventory, and accounting
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Use AI to surface trends, generate reports, and fill tax forms, with the key goal of assisting in strategic decision-making.
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Students will help shape both the interface and data systems that make real-time insights possible.
Prerequisites:
Basic programming knowledge in any language, and familiarity with HTML/CSS
Tools You will Use:
Python data science stack, Google Colab, Git/GitHub
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.
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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
Alexander Ifenaike
Machine Learning Engineer 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 CO₂ 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.
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Design AI agents for diagnosis assistance and prescription processing
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Implement Retrieval-Augmented Generation for medical information retrieval
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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
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.
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Develop an intuitive interface for a medical support chatbot
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Implement Retrieval-Augmented Generation for delivering evidence-based health information
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Create systems for symptom tracking and management guidance
Meet our Advisors
Our advisors are esteemed professionals, educators, and industry experts who guide and enhance our learning programs. They deliver master classes, review curriculum content, and share industry insights, ensuring students gain both foundational knowledge and real-world expertise. Their support bridges the gap between theory and practice, empowering learners to apply AI-driven solutions with confidence and creativity.
AI Research Expert
Advisor on Algorithmic Bias in LLMs
Health Technology Expert Advisor on Multi-agent AI Systems for Pharmacy Management
Clinical Psychologist & Health Tech Expert, Advisor on Sickle Cell Project