Movie Recommendation System
A content-based and collaborative filtering recommendation engine built with Python. Leverages cosine similarity and matrix factorisation on the MovieLens dataset to surface personalised suggestions at scale.
I build data systems and AI products, grow developer and data communities, and advocate for accessible and inclusive technology, bridging the gap between machine learning and real-world impact. Whether you need someone to develop predictive models, design intelligent systems, or lead end-to-end machine learning initiatives, I have done it across startups, nonprofits, and global tech companies. I am not just a hire; I am a multiplier.
Over six years ago, I started building things before anyone asked for them: communities, machine learning solutions, intelligent systems, platforms, and ecosystems. Today, they have scaled to reach and impact more than 30,000 people across 80+ countries
I am technical enough to build and architect the systems and human enough to know that technology means nothing if the right people cannot access it. That tension between what is possible and who it actually serves is what drives everything I do.
At Iterative and DagsHub, I worked remotely with teams across Europe, North America, and Asia, helping developers trust new tools, adopt new workflows, and build better AI systems for their business responsibly. At CBB Analytics, I leveraged machine learning, data science, engineering and analytics to solve real business problems, turning data into actionable insights that drove meaningful impact and improved decision-making. At Data Community Africa, I went deep on something harder to measure but impossible to ignore: what happens when an entire continent of builders finally has a room of their own?
Beyond the technical work, I speak at global conferences, create technical content, and consistently champion a vision for AI and data that is more accessible, inclusive, and impactful.
If you are building something that needs to last — technically sound, community-rooted, and built for the world as it actually is, that is the work I show up for.
“ Gift possesses the rare ability to blend deep technical insight with compelling communication. His strategic thinking, resilience, and consistent global-level impact were vital to Iterative's growth.”
— Jenifer De Figueiredo, Community Manager & DevRel Lead at Iterative, Inc.A content-based and collaborative filtering recommendation engine built with Python. Leverages cosine similarity and matrix factorisation on the MovieLens dataset to surface personalised suggestions at scale.
A second project is currently in progress. The link above will be updated when the repository is ready to share publicly.
A comprehensive go-to-market social media strategy for GPTZero covering audience segmentation, platform-specific content frameworks, influencer partnerships, and community-led growth tactics to establish the platform as a leader in the AI detection space.
A documentation and strategic communication of a four-year impact report, synthesizing community growth metrics, education program outcomes, flagship events and hackathons, partnerships, innovation initiatives, and multi-platform digital growth across 40 African countries and 70+ global regions
I co-found, lead, and contribute to data and AI communities across Africa and beyond — connecting practitioners, building ecosystems, and making tech more inclusive.
Keynotes, talks, and workshops at global conferences on data science, MLOps, developer relations, and community building.
Coverage, features, and recognition across leading tech publications and programs worldwide for my work in Data Science, AI Engineering, and Community Building .
Whether it is a new product, an open source collaboration, or just a conversation about software and community, my inbox is always open.
giftojabu32@gmail.com