Resume

Education

Machine Learning

2019
Coursera

Experiences

ML Engineer

11/2021 - Present
JUMO
South Africa
  • Working on the prediction domain towards automated productionizing & monitoring of machine learning models for credit risk prediction & customer portfolio services
  • Optimizing prediction ops and data engineering workflows
  • Tools: Python, FastAPI, Airflow, Redshift, Jenkins, Docker, Kubernetes, Terraform, Kafka, Datadog, AWS

Data Engineer (Contract)

02/2021 - 10/2021
Pocket Portfolio
Carlifornia, USA
  • Built ETL pipelines for wide-range financial data to serve reinforcement learning agents.
  • Implemented automated continuous infrastructure set-up and management using Terraform & GCP
  • Tools: Python, Terraform, Kafka, Prometheus, Tensorflow, TF Serving, GCP

Machine Learning Research Engineer

11/2019 - 11/2021
Semicolon Africa
Lagos, Nigeria
  • Worked as a software engineering (ML) team lead on fintech identity and validation measures as well as risk models for loan solutions.
  • Led data scientists and engineers to build and maintain credit risk modeling systems and auto KYC processes that heavily utilize data in terms of engineering and machine learning to help improve fin-tech business objectives.
  • Tools: Python, Flask, Scikit-learn, TensorFlow, Hadoop, GCP, AWS

Machine Learning Engineer (Contract)

12/2019 - 02/2020
Fundall
Lagos, Nigeria
  • Implemented secure Facial Detection functionality for during KYC Onboarding in the mobile application
  • Built a credit risk model for identifying better loan clients
  • Worked with the team to model a structural Financial Planner/Budgeting App process.
  • Tools: Python, Flask, TensorFlow, SQL, Google Cloud Platform

Machine Learning Graduate Research Assistant

08/2019 - 10/2019
Ekiti State University, Nigeria
Ado-Ekiti, Nigeria
  • Resumed as a Machine Learning Graduate Research Assistant Lecturer for the Department of Computer Science to teach “Introduction to Machine Learning” as a mini-course for CSC 402 to final year CS students.
  • Created curriculum and lecture content for the 'Intro to ML' syllabus.

Data Wrangler

01/2019 - 08/2019
F2dWire
Lagos, Nigeria
  • Performed data cleaning and wrangling of FHIR’s health resource dataset for front-end delivery
  • Scrum and agile development using Azure kanban-like boards.
  • Tools: Python, Django, Pandas, NumPy, Javascript, Azure DevOps.

Backend Engineer (Python)

05/2017 - 01/2019
The Soft Company NG
Ado-Ekiti, Nigeria
  • Built and maintained EHR management, reminder, and payroll automation platforms for local hospitals and SMEs, development using Django, VCS using Azure DevOps (Git).
  • Version control using Git, Github.
  • Managing cloud infrastructure in Google Cloud Platform.
  • Tools: Python, Django, Google Cloud Platform, SQL.

Certifications

TensorFlow Certified Developer

Issued: July 2020
TensorFlow Certificate Program

Google Code-in Mentor For TensorFlow

Issued: February 2020
Google Code-in

DeepLearning.AI TensorFlow Developer

Issued: February 2020
DeepLearning.ai

Machine Learning

Issued: December 2019
Stanford via Coursera

Achievements

First TensorFlow Certified in Sub-Saharan Africa

July 2020
TensorFlow Certificate Program
See directory

First Runner-up, Data4Gov Hackathon

February 2020
CcHub, Worldbank
  • Developed a Machine Learning model to help rice farmers detect early rice disease infestation to help reduce the 43% loss to diseases. Built the web interface using MapboxJS and TensorFlowJS
See what we built

Winner, CodeNaija Hackathon

October 2019
Github, Andela
  • Using Cloud AutoML and TensorFlow TFLite, built an offline-enabled ML powered application to help cassava farmers detect early disease infestation and proffer the next course of action
Read the story

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