Ogochukwu – Python, Django, Scikit-learn, experts in Lemon.io

Ogochukwu

From Nigeria (UTC+1)flag

Machine Learning Engineer|Senior
AI Engineer|Senior

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
Banking
Cybersecurity
Data analytics
Machine learning
Enterprise software
Web development
Main technologies
Python
6 years
Django
6 years
Scikit-learn
5 years
SQL
8 years
LangChain
1 year
Machine learning
4 years
MLOps
4 years
LLM
2 years
AWS
4 years
CI/CD
4 years
RAG
2 years
AI
2 years
PyTorch
5 years
Tensorflow
5 years
Additional skills
PostgreSQL
Docker
Linux
Bash
MLflow
Hugging Face
Microsoft Azure
Vector Databases
Django REST
FastAPI
Airflow
GPT
Keras
Direct hire
Possible
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Experience Highlights

ML Engineer /backend Engineer
Dec 2025 - Jun 20265 months
Project Overview

A Machine Learning application for predicting loan defaults

Responsibilities:
  • 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
Project Tech stack:
Python
Django
Pandas
NumPy
PostgreSQL
Scikit-learn
MLflow
Airflow
Redis
Celery
Docker
Threat Intelligence (Data) Engineer
Dec 2022 - Nov 20252 years 10 months
Project Overview

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.

Responsibilities:
  • 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
Project Tech stack:
Azure Functions
Python
asyncio
Azure Service Bus
ElasticSearch
RegExp
BeautifulSoup
Claude LLM
Azure DevOps
Threat Intelligence (Data) Engineer
Apr 2025 - Nov 20257 months
Project Overview

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

Responsibilities:
  • Built an enterprise Django application serving real-time security intelligence analytics to 100+ stakeholders
  • Ensured automated reporting using Python, Docker, and Docker Swarm
Project Tech stack:
Python
Django
Docker
Docker Swarm
Azure DevOps
ElasticSearch
API
Auth0
Python Backend Developer(Django)
Sep 2020 - Aug 20232 years 11 months
Project Overview

This role involved work on enterprise web applications: developing production Django applications with authentication, payment integration, React frontend, and RESTful APIs

Responsibilities:
  • 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
Project Tech stack:
Python
Django
PostgreSQL
Docker
Docker Compose
HTML
CSS
JavaScript

Education

2005
Applied Mathematics
BSc
2007
Business Administration
MBA
2008
Social Science Research Methods
MSc

Languages

English
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