Ogochukwu
From Nigeria (UTC+1)
Ogochukwu – Python, Django, Scikit-learn
Ogochukwu is a Senior machine learning and AI engineer with verified expertise in Python, Django, MLOps, RAG systems, and classical ML. He has delivered production-grade solutions in regulated domains such as financial services, cybersecurity, and humanitarian data science, with strengths in explainable AI, drift detection, and stakeholder communication. His experience includes hands-on work with RAG evaluation, model deployment, and real-world incident resolution!
11 years of commercial experience in
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Let’s get started today!Experience Highlights
ML Engineer /backend Engineer
A Machine Learning application for predicting loan defaults
- Built an enterprise-grade, fully open-source ML platform delivering real-time risk scoring via FastAPI/scikit-learn/XGBoost/LightGBM with sub-300ms p95 latency
- Implemented automated MLOps retraining with DVC (data versioning), MLflow (experiment tracking/registry), and Apache Airflow (orchestration), zero-downtime model hot-swapping via Redis Streams, and full observability with ClickHouse, Prometheus, and Grafana (including data-drift/PSI monitoring)
- Ensured storage via MinIO (S3-compatible) and PostgreSQL; HAProxy for edge routing/SSL termination
- Containerized with Docker Compose
Threat Intelligence (Data) Engineer
An end-to-end threat intelligence system — starting with a scraping microservice built on 26+ Azure Functions, Service Bus Queues, and Python asyncio to collect 5K+ real-time threat records daily, then orchestrating 26+ n8n workflows to integrate vulnerability management, device scoring, and multi-source threat intelligence across PostgreSQL, Azure Synapse, OpenSearch, and Notion, and culminating in a Django-based real-time dashboard.
- Engineered async web scraping microservices using Python asyncio and Beautiful Soup
- Achieved 75% reduction in data collection time through concurrent processing
- Designed distributed ETL systems with Azure Functions, Service Bus Queues, and AWS OpenSearch, processing 5k+ security events daily with 99.9% uptime
Threat Intelligence (Data) Engineer
A real-time security dashboard: an analytics platform providing board-level reporting and insights with automated alerts, trend analysis, and KPI tracking 5k+ security events daily using Django
- Built an enterprise Django application serving real-time security intelligence analytics to 100+ stakeholders
- Ensured automated reporting using Python, Docker, and Docker Swarm
Python Backend Developer(Django)
This role involved work on enterprise web applications: developing production Django applications with authentication, payment integration, React frontend, and RESTful APIs
- Developed production REST APIs using Django REST Framework with JWT authentication and comprehensive documentation, serving 5K+ monthly users
- Optimized PostgreSQL/MySQL schemas using Django ORM with strategic indexing, reducing API response time by 60% and improving throughput 3x
- Built CI/CD pipelines with Docker, Git, and Jenkins
- Created pytest test suites achieving 85%+ code coverage with automated integration testing