Hello there, I'm Divine
Software Engineer | Applied ML
Currently building scalable backend systems at Muli Technologies
About me
Who am I?
I am a skilled software engineer that has created digital solutions for stakeholders of the supply chain, health care and fin-tech industries. I ensure to stay on top of the latest developments in the field while keeping a solid grasp of the fundamentals. I measure my success in the value I am able to create for people.
Skills
Here are some of my technical and non-technical skillsProgramming Languages
6+ Years XPPython
Golang
JavaScript
SQL
Matlab
Cloud and Devops
4+ Years XPAmazon Web services
Microsoft Azure
Containerization (Docker and Kubernetes)
Scheduling (Apache Airflow, Celery, AWS)
Linux
Serverless and Zappa
Data Engineering
4+ Years XPAirflow
Apache Kafka
Pyspark
QGIS and ArcGIS
Backend Development
4+ Years XPDjango
Flask
fastApi
Git
Pytest, Playwright, Selenium
Experience
My journey in the academic & professional frontMsc. Computer Science and Software Engineering
Constructor University, BremenB.Eng in Computer Engineering
Covenant UniversitySenior Backend Engineer
Muli TechnologiesLead Backend Engineer
Meto (Startup)Backend Engineer (Analytics & AI)
Chequebase (Startup)Software Engineer
Empa - The Swiss Federal Laboratories for Material Science and Technology (St. Gallen)Research Intern
Empa - The Swiss Federal Laboratories for Material Science and Technology (Dübendorf)Web developer
New Horizons computer learning centers (Nigeria)Projects Gallery
Inspiration, Innovation & Impact
Muli
Muli is an all-in-one solution for food delivery companies. Muli combines a modern online shop, ERP, payment, logistics planning, and warehouse management in one tool.
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Meto
Experience quality metabollic health care with Meto. The number one AI-powered platform for patients and health care practitioners.
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Chequebase
Chequebase is an AI-enhanced expense management software for businesses of all sizes, offering comprehensive oversight and automation.
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Coldtivate
A web and mobile application to offer market intelligence to smallholders and other relevant stakeholders of fresh food supply chains in LMIC.
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BananaSAM
In this research line we utilize image segmentation for detecting bruises and scars on banana fruits. We validate our approach against SOTA baselines and showcase that weakly supervised learning performs on par with supervised.
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Yvcca Nigeria GIS map
The Yvcca Nigeria map is a tool to designed visualize relevant open-source geospatial information concerning the fresh-food supply chains in Nigeria. It includes GIS layers displaying open-source data relative to crop production, market prices, weather, road network, market locations, etc
ViewTech Stack
Tools & Technologies
Python
FastAPI
Flask
Django
Elasticsearch - ELK
PostgreSQL
MongoDB
Kubernetes
Redis
AWS S3
AWS Lambda
AWS SQS
AWS Sagemaker
AWS DynamoDB
Terraform
Let's collaborate
If you have an interesting project within my domain of expertise and you forsee an alignment, please do not hesitate to contact me through this form.
Contact
Publications
Exploring Data Science Through Research & PublicationsWeakly supervised image segmentation for defect-based grading of fresh produce
Journal: ArxivLink: arXiv:2411.16219v1
Author(s): Manuel Knott, Divinefavour Odion, Sameer Sontakke, Anup Karwa, Thijs Defraeye
Large scale automation of fruit quality grading utilizing computer vision.
Towards economic, nutritional, and environmental sustainability for small-scale farming businesses using a mobile-powered impact dashboard
Journal: Science TalksLink: doi:10.31224/3341
Author(s): Divinefavour Odion, Roberta Evangelista, Thijs Defraeye, Daniel Onwude
Real-time tracking of vital metrics like daily CO2 emission levels in remote cold storage facilities.
Towards improving farmers livelihood in Nigeria using food price forecasting
Journal: Agriculture and Food Research PreprintLink: doi:10.1016
Author(s): Divinefavour Odion, Kanaha Shoji, Roberta Evangelista, Joaquin Gajardo, Thomas Motmans, Thijs Defraeye, Daniel Onwude
Providing a foundation for ml based food price forecasting in agrarian countries
A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain
Journal: Methodsx PublishedLink: pii/S221501612300050X
Author(s): Divinefavour Odion, Kanaha Shoji, Roberta Evangelista, Joaquin Gajardo, Thomas Motmans, Thijs Defraeye, Daniel Onwude
Visualizing the potential for sustainable cooling solutions across Nigeria via an interactive web-GIS tool.
Bottlenecks in Nigeria's fresh food supply chain: What is the way forward?
Journal: Trends in Food Science & Technology PublishedLink: pii/S092422442300136X
Author(s): Daniel Onwude, Divinefavour Odion, Kanaha Shoji, Roberta Evangelista, Joaquin Gajardo, Thomas Motmans, Thijs Defraeye, Olubayo Adekanmbi, Nnaemeka Ikegwuonu, Soufiane Hourri
We identify the major bottlenecks in Nigeria's fresh food supply chain responsible for the high food losses. We propose possible solutions to mitigate them.