Akpaka Collins Chidindu
Product Manager, Konga Group
Lagos, Nigeria
Actions
Akpaka Collins Chidindu brings extensive hands-on experience in product management, encompassing a wide spectrum of expertise from e-commerce and fintech to mobility and marketplace platforms. He works as Product Manager at Konga, Nigeria’s largest e-commerce platform, where he drives the design and execution of user-centred solutions that reach millions of customers.
Collins also serves as a Lead Mentor at HNG Tech, one of Africa’s largest remote tech internship programmes, where he has guided and coordinated over 10,000 mentors across Product, Design, and Engineering. Through this role, he has supported thousands of emerging professionals in gaining practical product management skills, strategic thinking, and real-world execution experience.
Driven by a passion for building impactful digital products, Collins applies his expertise in product strategy, stakeholder management, documentation, and cross-functional leadership to solve complex challenges. His work emphasises the creation of scalable, inclusive, and high-impact solutions that address real-world problems within Nigeria’s rapidly evolving tech ecosystem.
As a mentor and product leader, he is committed to developing the next generation of product managers, simplifying complex concepts, and empowering tech professionals to translate innovative ideas into practical, user-centred outcomes.
Links
Area of Expertise
Topics
The Trolley Problem in AI: Ethics, Open Source, and Machine Decision-Making
AI systems are no longer just hypothetical tools —they’re making decisions in healthcare, finance, transportation, and law enforcement. But what happens when these systems must make choices with real ethical consequences? This talk dives into the “Trolley Problem,” a famous philosophical dilemma, to explore how ethical reasoning plays out when machines must make morally loaded decisions.
In this session, I’ll unpack how developers and open-source contributors can think critically about the ethical foundations we encode into AI models — particularly in environments where lives, rights, or opportunities are at stake. We'll explore real-world examples (like autonomous vehicles and content moderation systems), the tension between fairness and utility, and how open-source contributors play a role in shaping AI’s moral compass.
Building Yourself While Building Others: The Power of Tech Communities in Career Growth
Breaking into tech isn’t just about learning to code or mastering technical skills — for me, it has always been about consistency, visibility, and the courage to show up even when I didn’t feel ready. In this session, I’ll share the often-overlooked truth I’ve learnt from my journey and from mentoring others: showing up is the real differentiator between those who grow and those who stay stuck.
I’ll walk you through real experiences from community building, product management, and supporting young African tech talents, highlighting how opportunities are created, how networks are built, and how careers accelerate when you commit to showing up. You’ll learn practical strategies for staying consistent, overcoming fear, building meaningful community connections, and leveraging small steps to unlock big breakthroughs. Whether you’re a student, a career switcher, or emerging tech talent, this talk will give you the clarity and confidence to take your next step in tech.
The Trolley Dilemma in AI: Can Machines Make Moral Decisions?
As artificial intelligence systems increasingly find themselves embedded in real-world decision-making from autonomous vehicles to predictive policing, the age-old trolley problem has found a new, urgent relevance. How do we program machines to make ethical decisions when human lives are at stake? Can an algorithm understand morality, or are we simply encoding the biases and blind spots of our own ethical frameworks?
In this session, we’ll explore how the trolley dilemma serves as a powerful lens to examine the ethical challenges of AI in the Nigerian context and beyond. Drawing from real-world applications, we’ll analyse how AI systems are being forced to make value-laden choices and what frameworks developers and policymakers can use to guide them.
Key Learning Objectives:
Understand the origins and ethical implications of the trolley problem.
Analyse its relevance in modern AI decision-making, especially in critical sectors like transportation and healthcare.
Explore the limits of programming morality into machines and how bias, data, and societal values shape outcomes.
Inspire ethical AI development within Nigeria's growing AI ecosystem to promote fairness, accountability, and sustainability.
This is a non-technical presentation aimed at AI enthusiasts, researchers, students, educators, and policymakers interested in the ethical and social impact of AI systems.
Building Context-Aware AI: Why Localization Matters
Most AI tools are made using data from around the world, but this data doesn't show what African users really experience. Because of this, the solutions created often don’t understand local cultures, don’t support local languages, and don’t work well with the technology and systems we have in Africa. In this session, we'll look at how to create AI that is aware of its environment — AI that knows where it's being used, can handle real challenges, and can make a difference in areas like finance, transportation, healthcare, and education across Africa. Attendees will gain useful ideas on how making AI more local can change it from just being another tool into a key force for innovation and growth on the continent.
Akpaka Collins Chidindu
Product Manager, Konga Group
Lagos, Nigeria
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top