Nnaemeka Daniel Chukwuemelie

Nnaemeka Daniel Chukwuemelie

Chief Technology Officer & Senior Software/ML/Data Engineering Leader

About

Seasoned technology executive, CTO, and Senior Software, Machine Learning, and Data Engineering leader with 6+ years of experience building applications, system designs and architecture, enterprise-scale data platforms and operationalizing production machine learning systems. Expert in architecting single/multi-cloud big data architectures (AWS, GCP, Azure, Databricks) ingesting 600M+ events/day and designing robust MLOps environments serving 3M+ predictions/day. Proven track record in reducing data latency by 95%, optimizing infrastructure costs by 40%, and doubling model-to-production deployment speeds through high-performance engineering, robust ETL/ELT pipelines, and advanced data modeling.

Work

Niteon Inc.

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CTO & Head of ML and Data Engineering

Lagos State, Nigeria

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Summary

TESTING SUMMARY UPDATE

Highlights

Architected a unified multi-cloud data and MLOps platform (AWS + GCP + Azure + Databricks) ingesting 600M+ events/day, reducing data latency from 45 min to 5 min.

Delivered a full-stack MLOps pipeline (Kafka/Spark streaming ingestion, enterprise feature-store, and automated deployment) supporting 12 production models and 3M+ predictions/day.

Built a scalable catalog of 120+ pre-computed features exposed via a feature-store, reducing model time-to-production by 46%.

Led migration from on-premises to cloud data lakes/warehouses, achieving a 40% infrastructure-cost reduction and USD 1.2M in savings over two years.

Scaled a global engineering organization of 20+ engineers (ML, data, software, and DevOps), implementing Agile practices that boosted pipeline delivery speed by 37%.

Established enterprise-wide data governance, real-time model-monitoring, and drift-detection frameworks, reducing model rollback events by 72% and data incidents by 58%.

Pandascrow Technology Limited

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Data Scientist Lead & Data Enginner

Port-Harcourt, Rivers State, Nigeria

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Summary

Engineered robust big data processing systems, real-time ingestion pipelines, and containerized microservices to support high-throughput retail analytics and machine learning workloads. Established core engineering practices, pipeline automation, and code standards across the engineering department.

Highlights

Designed and built production ETL and big-data processing pipelines using Spark, Hive, and Kafka, processing 1TB/day of retail data and cutting query-response times from 120s to 18s.

Developed a real-time event-ingestion system utilizing Kafka and Spark Streaming to ingest and process 150k messages/sec for real-time executive dashboards and alerting.

Implemented Docker and Kubernetes-based microservices for containerized analytics workloads, reducing developer environment-provisioning time by 65%.

Mentored junior engineers and established team-wide CI/CD pipelines, automated testing, and code standards, boosting overall code-quality metrics by 30%.

Education

Enugu State University of Science and Technology

Enugu, Enugu, Nigeria
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Bachelor of Science Computer Science

Skills

Big-Data, ML & Pipelines

Apache Spark, Structured Streaming, Kafka, Hadoop, Hive, TensorFlow, PyTorch, Scikit-learn.

Cloud Data, Warehousing & MLOps

Databricks, AWS (S3, Redshift, EMR, SageMaker), GCP (BigQuery, Pub/Sub, Dataflow, Vertex AI), Azure (Synapse, Data Lake, Data Factory, Azure ML), MLflow, Kubeflow, DagsHub, Hugging Face.

ETL/ELT & Orchestration

Python, PySpark, SQL, Apache Airflow, Docker, Kubernetes, Apache NiFi.

Data Modeling, Governance & Monitoring

Star/Snowflake Schema, Drift Detection, Feature Store Architecture, Versioning, Experiment Tracking, Metadata Cataloging, Data Lineage, Grafana, Prometheus.

Version Management & CI/CD

Git, GitHub, GitLab CI, GitHub Actions, Jenkins.

Databases & Vector DBs

Postgres, MySQL, MongoDB, Redis, Pinecone, Milvus, Terraform.

Leadership Strategy

Architecture Design, Team Leadership, Stakeholder Collaboration, Technical Mentoring, Product-led ML Delivery.

Programming Languages

Python, Go (Golang), SQL, PySpark, Bash, Javascript, Typescript.

Projects

Kunte: AI Shopping Assistant

Summary

Developing a multimodal, conversational AI shopping assistant for Niteon that delivers level-headed recommendations and deep product personalization. Integrates conversational interfaces to provide buyers and manufacturers with simplified, context-aware access to trade catalogs.

Bank Customer Satisfaction & Churn Analytics

Summary

Engineered a scalable end-to-end churn prediction pipeline—ingesting transactional and behavioral datasets, executing feature engineering and selection, training ensemble classifiers (XGBoost, RandomForest) with hyperparameter optimization, and integrating SHAP-based interpretability to deliver 92% predictive accuracy and actionable retention insights.

Niteon Capital

Summary

Architected and deployed a microservices-based fintech banking platform tailored for manufacturers. Built secure RESTful APIs, a credit scoring engine leveraging machine learning models, real-time payment processing with a multi-currency wallet system, and compliance workflows to automate loan origination, disbursement, and portfolio management.

Cardio-ML: Cardiovascular Predictive Analysis

Summary

Developed a robust cardiovascular risk stratification solution by preprocessing clinical, demographic, and lifestyle data, applying SMOTE for class balance, and training a hybrid architecture combining gradient boosting and feedforward neural networks, validated via stratified k-fold cross-validation to achieve an AUC of 0.87 for early detection.

Niteon HQ

Summary

Led the core Niteon web application from research and development to successful production deployment. Implemented secure access management mechanisms, robust privacy-preserving infrastructures, and a highly intuitive, user-friendly interface to enable frictionless global B2B trade interactions.

Memberships

Member

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ForbesBLK

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Engaged in a premier global network of top-tier Black executives and founders, collaborating to shape the future of business, tech, and cultural capitalism.

Member

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International Society for Applied Computing (ISAC)

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Collaborating with global researchers and practitioners in advancing computer science applications and data engineering paradigms.

Member

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Black in AI (BAI)

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Active member engaging in machine learning research, community mentorship, and professional collaboration.

Awards

Trade Tech Founder of the Year

African Tech Award

Honored for leadership and innovative contributions to trade technology, engineering solutions, and scalability in African digital ecosystems.

Certificates

Privileged Access Management Technical Sales Intermediate

IBM

Identity Access Management Sales Foundation

IBM