Published by
Journal of Multidisciplinary Engineering Science Studies (ISSN: 2458-925X)
Summary
Co-authored a journal publication focusing on the development of a short-term electrical load prediction model for a distribution company in Nigeria.
About
Highly experienced AI Engineer with a robust background in building data-driven applications, high-performance models, and state-of-the-art algorithms. Proven expertise in architecting scalable data pipelines and deploying complex machine learning solutions, leveraging strong software engineering principles to drive business impact and innovation.
Work
Lagos, Nigeria
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Summary
Currently spearheading the development of advanced AI agentic workflows and real-time data processing pipelines for financial services.
Highlights
Architected and deployed sophisticated agentic workflows using LangChain and LangGraph, leveraging open-source LLM frameworks to enhance financial service operations.
Automated critical data sourcing processes and developed robust real-time data processing pipelines, ensuring high data availability and integrity for AI applications.
Lagos, Nigeria
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Summary
Led the development of real-time fraud detection and customer value optimization strategies, significantly enhancing platform security and retention.
Highlights
Developed and implemented real-time fraud detection algorithms, effectively mitigating fraudulent activities and enhancing platform security.
Utilized advanced statistical methods and analytical models to identify key customer value drivers, informing strategies that reduced churn and improved retention.
Lagos, Nigeria
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Summary
Directed a cross-functional team of software engineers and data scientists in developing B2B SaaS applications, establishing robust data infrastructure and MLOps practices.
Highlights
Led a team of software engineers and data scientists in the end-to-end development of B2B SaaS applications.
Engineered and maintained a high-performance, end-to-end streaming ETL pipeline using Apache Spark, Kafka, and Druid, processing large volumes of unstructured data from diverse sources.
Architected core business logic and standardized design patterns, improving code quality, scalability, and development efficiency across engineering teams.
Managed the complete machine learning model lifecycle, implementing state-of-the-art MLOps tools to ensure reliable model deployment and performance.
Abuja, Nigeria
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Summary
Developed automated Python scripts and backend services for data-intensive applications, specializing in NLP tasks for journalism innovation.
Highlights
Automated radio transmission listening and audio transcription using Python scripts, streamlining data ingestion for critical NLP tasks.
Designed and maintained scalable backend services and APIs with Python (FastAPI) to support data-intensive applications, ensuring high performance and reliability.
Lagos, Nigeria
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Summary
Designed and implemented end-to-end machine learning solutions, from data acquisition and ETL to API development and model deployment, enhancing product performance and user engagement.
Highlights
Automated data collection processes from valuable sources using Python and Celery, ensuring reliable data input for machine learning models.
Developed and maintained robust end-to-end ETL pipelines across multiple cloud instances, optimizing data flow for ML model training and inference.
Engineered high-performance ML APIs with FastAPI, significantly improving product performance and driving increased customer engagement.
Managed the full lifecycle of machine learning models, from development to deployment and maintenance, ensuring continuous optimization and impact.
Planned and integrated Mixpanel into a mobile application, enhancing product performance and user engagement through improved analytics.
Lagos, Nigeria
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Summary
Analyzed large-scale crowdsourced data to deliver actionable insights, empowering stakeholders with data-driven decision-making capabilities.
Highlights
Validated and processed over 5,000 daily data points collected via crowdsourcing from diverse Nigerian locations, ensuring data quality for analysis.
Extracted actionable insights from extensive datasets using SQL, Python, and Business Intelligence tools, directly informing strategic decisions for stakeholders.
Volunteer
Data Scientists Network (DSN)
|DSN AI+ Campus Lead
Lagos, Nigeria
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Summary
Led community engagement and educational initiatives, fostering growth in AI and Machine Learning skills among members.
Highlights
Taught introductory and advanced Machine Learning and Deep Learning techniques using various open-source tools to over 5,000 daily data collected via crowdsourcing from several locations in Nigeria.
Organized hackathons and workshops, engaging community members in building scalable data preprocessing pipelines and high-performance models.
Nigerian Institution of Mechanical Engineers (NIMechE)
|National Technical Secretary
Abuja, Nigeria
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Summary
Contributed to the smooth operation of the institution through planning, organizing technical events, and coordinating publications.
Highlights
Contributed to smooth institution operations by planning and organizing technical sessions, conferences, and workshops, including webinars.
Coordinated newsletter and research publications, supporting institution executives and boosting team efficiency.
Bitgrit Inc.
|Bitgrit Ambassador
Japan, Japan
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Summary
Represented Bitgrit in Nigeria, coordinating community projects and driving strategic initiatives.
Highlights
Led the Bitgrit Nigeria team in delivering community projects, fostering collaboration to share information and develop solutions for a broad array of deliverables.
Conceptualized, designed, and implemented abstract ideas and plans, driving the company's vision and strategic objectives.
Publications
Published by
Association for Computational Linguistics
Summary
Co-authored a research paper presented at EMNLP 2020, exploring participatory research for low-resourced machine translation in African languages.
Skills
Programming Languages
Python, Golang, Rust, C++, SQL, Bash.
ML/DL Frameworks & Libraries
PyTorch, Scikit-learn, XGBoost, Spacy, NLTK, LangChain, LangGraph, FastAPI, Dask, CUDA, RAPIDS APIs.
Data Engineering & Processing
Apache Spark, Kafka, Druid, ElasticSearch, Neo4J, ETL, Streaming ETL, Data Pipelines, Data Sourcing, Celery, RabbitMQ.
MLOps & Deployment
MLOps Tools, MLFlow, Model Deployment, Machine Learning Model Lifecycle, API Design, Microservices Development.
Cloud Platforms & Operations
AWS (Amazon Web Services), GCP (Google Cloud Platform), Microsoft Azure, Databricks, Confluent, Tableau, Git, Docker, Kubernetes, Circle CI, Linux, Airflow, Terraform.
Machine Learning & AI
Building ML/DL Models, State-of-the-art Architectures, Neural Networks, Real-time Fraud Detection, Customer Value Identification, Churn Prevention, NLP Tasks, Agentic Workflows, LLM Frameworks, Predictive Maintenance.
Software Engineering
Backend Services, API Development, Core Business Logic, Standardized Design Patterns, Software Architecture.
Data Analysis & BI
Statistical Methods, Analytical Models, Business Intelligence Tools, Data Extraction, Insight Generation.