Available for opportunities

Gift
Ojeabulu.

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.

Gift Ojeabulu

Who I am


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 Ojeabulu
Python MLOps LLMs LangChain DVC React / JS SQL / dbt AWS Docker Tableau
6+
Years of experience
10k+
Community Members Grown
30+
Global Tech Events Organised
50+
Talks & Workshops

Where I have worked



FastDoc
Iterative
CBB Analytics
Data Community Africa
Machine Learning Engineer
@ FastDoc
2026 — Present
  • Building ML systems in production, applying modern MLOps practices and AI pipeline engineering to healthcare and document intelligence workflows.
Developer Advocate (MLOps)
@ Iterative AI
2023 - 2024
  • Core Contributor to Community, Advocacy & Growth Strategy across Europe, North America, and Asia for 5 open-source and SaaS products: DVC, DVC Studio, DVC VS Code extension, CML, and DataChain.
  • Curated and distributed 200+ content pieces annually from Arxiv, Reddit, StackOverflow, HackerNews, YouTube, and MOOCs to boost developer engagement.
  • Grew the developer community by 4,000+ members and boosted Discord engagement by 50% through technical support, job sharing, and discussion facilitation.
  • Co-organised and executed 10+ global virtual meetups averaging 2,000+ attendees; wrote articles and spoke at international meetups and conferences.
  • Delivered actionable feedback that drove 8+ product updates; contributed to key integrations with HuggingFace, Optuna, Ultralytics, and others.
  • Co-authored and distributed 15+ newsletters (30%+ open rate, 15% CTR) and led milestone campaigns that became the company's most viewed Livestream YouTube content.
  • Built a GTM tracking system, improving lead efficiency by 25%; tracked course analytics across DataCamp, Udemy, and Udacity; monitored community KPIs to guide content strategy.
  • Executed a cross-platform strategy driving 350% LinkedIn growth, 20%+ increase in product page clicks, and 40% YoY engagement growth.
  • Played a pivotal role in the Product Hunt launch strategy, securing a #8 Product of the Day ranking and growing DataChain from 0 to 500+ GitHub stars within its first month.

“ 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.
Data Scientist
@ CBB Analytics
2021 - 2022
  • Led development of advanced analytical models and data-driven strategies to optimise NCAA basketball team performance for programs including Duke, Kentucky, Kansas, and North Carolina.
  • Analysed player and team performance metrics (PER, TS%, eFG%) and managed large datasets from games, player stats, and external sources, ensuring data accuracy and integrity.
  • Developed interactive dashboards and comprehensive reports conveying actionable insights to coaches, trainers, and management, directly influencing game strategies.
  • Delivered findings through compelling data storytelling, aligning analytics with the strategic goals of teams and ensuring clarity in decision-making.
  • Partnered with coaches, recruiters, and trainers at various NCAA programs to integrate data insights into recruitment and training strategies.
  • Gained recognition as a trusted advisor to the CEO by consistently delivering high-impact insights and representing the analytics division in board meetings and public engagements.
Co-founder
@ Data Community Africa
2022 - Present
  • Co-founded and built the infrastructure for Data Community Africa, one of the continent's leading data and AI communities.
  • Designed and implemented community platforms and engagement systems to support a growing pan-African membership.
  • Mentored emerging AI professionals and established open knowledge-sharing programmes connecting practitioners across African countries.

Things I have written



Stop ML Model Failures: Complete Guide to Data Validation with Pandera, Great Expectations & Deepchecks
A comprehensive walkthrough of data validation strategies to catch issues before they reach production, covering Pandera, Great Expectations, dbt, and Deepchecks.
Beyond Pandas: The Modern Data Analytics and Engineering Techniques With Python
A deep dive into modern Python data tooling that goes beyond Pandas exploring tools and patterns for production-grade data engineering workflows.
Building Human Learning Communities in the AI Era: A 60-Day Guide
A practical, step-by-step framework for building and sustaining engaged learning communities in an age increasingly shaped by artificial intelligence.
Multilingual Text Detection with FastText and Hugging Face: A Beginner's Guide
How to build multilingual text detection systems using FastText and Hugging Face, a beginner-friendly guide covering the core concepts and implementation.
A Practical Guide to Growing a Thriving AI Community Around Your Product
Lessons from years of community building covering everything from early activation to sustainable engagement for AI and data communities.
Exploratory Data Analysis with FIFA 21, Parts 1 & 2
A hands-on EDA series using FIFA 21 data — demystifying the process of exploratory analysis, visualisation, and insight extraction for sports datasets.

Things I have built


Machine Learning

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.

Python Pandas Scikit-learn NLP Collaborative Filtering
Coming Soon

Second Project

A second project is currently in progress. The link above will be updated when the repository is ready to share publicly.

Python AI Data Pipeline
Case Study Client — GPTZero

Social Media Growth Strategy for an AI Detection Platform

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.

Strategy Developer Marketing Community Growth AI Content
View booklet → Opens in new tab
Case Study Data Community Africa

Ecosystem Growth & Impact Report

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

Data Analysis & Storytelling Technical Content & Event Strategy Community Building & Growth Inclusion & Diversity Program Management
View Report → Opens in new tab

Communities

I co-found, lead, and contribute to data and AI communities across Africa and beyond — connecting practitioners, building ecosystems, and making tech more inclusive.

Speaking

Keynotes, talks, and workshops at global conferences on data science, MLOps, developer relations, and community building.

Featured In

Coverage, features, and recognition across leading tech publications and programs worldwide for my work in Data Science, AI Engineering, and Community Building .

Let us build something



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