Our Team - EqualyzAI

Meet Our Team

Dr. Olubayo Adekanmbi

CEO/Co-Founder

Olubayo has 23 years of experience as a C-level technical and business leader. He has led high-impact innovations, transformational strategies, and data science and analytics projects for Africa’s two largest telecommunication companies – MTN and Airtel African UK Limited, with oversight functions covering over 300 million customers in 30 countries.

Olubayo is also an award-winning solution developer, who has led the development of globally acclaimed solutions for the Bill and Melinda Gates Foundation, the Mastercard Foundation, Meta, the World Bank, and others.

Five of the products Olubayo has led have been listed on the IRCAI/UNESCO Top 100 AI products for sustainable development. He also recently won the Global Grand Challenge on building LLMs for social good.

Olubayo also served in global initiatives, such as the AI Safety and ethics (UK AI Safety Institute), National AI policy development (Government of Nigeria, Tony Blair Institute), AI for humanitarian intervention (e.g. UK Humanitarian Innovation Hub), AI for development (e.g. The GSM Association – GSMA), AI capacity development (Google, Microsoft, Meta, Nvidia), AI Social good platforms (e.g. Bill and Melinda Gates Foundation, Mastercard Foundation) and AI Governance framework development (e.g. Lagos State Government).

Olubayo has a PhD from the University of London (St George/City)

Dr. Ife Adebara

CTO/Co-Founder

Ife is a globally recognized researcher with over seven years of experience in natural language processing, linguistics, and language policy.

She has served as a member of the Deep Learning and Natural Language Processing Group at University of British Columbia (UBC) and as an associate member of the African Languages Technology Initiative in Nigeria.

Ife has also presented her research work at top NLP conferences, including ACL, EMNLP, COLING, and the LT4ALL conference organized by UNESCO.

Her work has also been recognized beyond the academic sphere, including media coverage by CBC News, Global News Canada, AMD, and City News Vancouver.

Ife also won the Top 10 Outstanding Global AI Solutions Award from the IRCAI under the auspices of UNESCO for AfroLID and Serengeti—a language identification model and natural language understanding model for 517 African languages.

Ife’s PhD is from UBC Canada. Her dissertation focussed on the development of deep learning technologies for 517 African Languages and endeavored to make “computers usable in African languages.”

Uche Edwin

Products Lead

An AI product leader with over 6 years of experience developing AI-driven solutions, specialising in product strategy, design thinking, UX research, AI governance, and technology localisation for African contexts.

Previously worked at one of Sub-Saharan Africa’s largest EdTech organisations, driving learning program management for more than 11,000 students across 5 countries

He has led key projects at Data Science Nigeria, including the Adaptive Learning Engine for education delivery in low-resource settings, Edo Data for Governance, and the Generative AI Governance Platform, each focused on leveraging AI for measurable social and developmental impact.

Uche has presented at global AI conferences, including ICT4D, IEEE GLOBECOM, and Deep Learning Indaba (DLI), shaping narratives on inclusive AI and governance models relevant to Africa.

He has also delivered guest lectures on AI and development at leading institutions, including Columbia University’s SIPA and Pan-Atlantic University.

Anthony Soronnadi

Senior Machine Learning Engineer/Research & Innovation Lead

Senior ML Engineer with 5+ years of experience specializing in AI solutions for Africa with expertise in NLP, speech recognition, computer vision, LLMOps, and Agentic AI.

Demonstrates comprehensive technical mastery across the entire AI lifecycle, from foundational research through production deployment of scalable solutions.

Recipient of the Best Paper Award at ICLR 2024 AfricaNLP Workshop and an award at the “I Can’t Believe It’s Not Better Workshop @ ICLR 2025.”

Projects worked on: AfroSLM, Audio Analyzer,Family Planning Chatbot, GovLLMiner, African Voice Project, FinChat, Afrirazer, etc.

Rahman O. Oloritun

Commercial Strategy & AI Systems

Rahman is an executive leader at the intersection of AI innovation and enterprise value creation. With over 15 years of experience at KPMG, PwC, and Andela, he drives commercial strategy and the design of scalable AI architectures that deliver measurable business impact

He combines deep technical expertise with disciplined execution to translate emerging technologies into growth and competitive advantage. A published researcher with an M.Sc. from the Masdar Institute/MIT collaborative program, Rahman brings both strategic clarity and technical depth to AI-driven transformation.

Oluwaseun Nifemi

Technical Delivery & Ops Lead

A Senior Data Scientist certified by The Artificial Intelligence Board of America (ARTiBA) as an Artificial Intelligence Engineer with over five years of experience solving complex challenges and providing business insights.

She has been instrumental in advancing AI-driven solutions across sectors such as education, healthcare, digital and financial inclusion, governance, and advocacy. She has broad experience developing, deploying, and managing end-to-end analytics, automation, and digital transformational solutions.

She has spoken at top leadership conferences like the Global Digital Developmental Forum, the African Society for Social and Behavior Change Summit, the ICT4D Conference, etc., highlighting her role in shaping Africa’s AI ecosystem.

She has managed projects like Gates Foundation African Voice Project, Nigeria AI Collective, Gates Foundation AI/DPI University College London Artificial Intelligence for Humanitarian Project, TBI (Tony Blair Institute) Project on Artificial Intelligence Literacy Curriculum for Government Workforce, AI-Powered Digital Family Planning Counseling Chatbot Project in Partnership with Gates Foundation and Tulane University, etc.

Ahmad Ibrahim Ismail

AI/DPI Lead

Ahmad is a data scientist and ML engineer working at the intersection of NLP, Large Language Models, and AI-powered platforms, with a focus on bridging research and practical application. As a solution architect and technical lead on AI and Digital Public Infrastructure initiatives, he helps design and deploy data-driven systems that support governance and digital transformation

His recent work spans EqualyzAI Voice Agents Marketplace, a multi-tenant voice-first AI infrastructure; AIKano and AskKaduna, on-prem and multilingual RAG systems serving public sector use cases; the DSN Sandbox, a modular microservices platform exposing AI services, telephony, and large-scale dataset APIs for innovators; LLMiner, an open-source-based tool for sovereign on-prem LLM deployment; and Tattara, an AI-assisted data entry and anomaly detection system for health data workflows.

Alongside this, he is drawn to the challenges of AI deployment and compute infrastructure, how large models can be served, scaled, and made practical in real-world settings, and is motivated by building AI systems that are scalable, ethically grounded, and oriented toward open innovation and the public good.

Olamide Shogbamu

Project Coordinator, AI Technical Solutions

Olamide Shogbamu is a Data Scientist and AI/ML Engineer at Data Science Nigeria, specializing in the architecture of autonomous agentic systems. With a focus on Large Language Models and RAG optimization, Olamide excels at orchestrating multi-agent workflows that solve complex, multi-step reasoning problems.

His expertise extends into Voice AI, where he develops low-latency, business-intelligent speech-to-speech solutions designed to make human-computer interaction feel intuitive and natural. Driven by a mission to be at the forefront of AI solution systems, he builds production-ready systems that automate high-impact, end-to-end business processes.

Olusoji Okegbemi

Brand Analyst

Olusoji is a digital marketing strategist and brand professional with strong expertise in social media management, content strategy, and data-informed brand positioning. Over the years, he has worked across freelance and corporate environments, helping brands build visibility, deepen audience engagement, and achieve measurable growth through digital channels.

He is a Brand Analyst at EqualyzAI, where he evaluates brand performance, interprets user and market signals, and helps shape the positioning and communication of AI-driven products. His work sits at the intersection of data, audience insight, and brand strategy, translating complex product value into clear, consistent, and engaging brand narratives.

Overall, he brings a strong combination of digital marketing expertise, brand management experience, and analytical thinking, with a consistent focus on building clear, relevant, and performance-driven brands.