Position: Full Stack Web Developer
Category: Python
English level: fluent
Years of experience: 3


Amcor | Contract Python developer (Python,Flask,Vuejs)
Designed and built apps to integrate with and control manufacturing process devices.

Intron health | Fullstack developer (Python,Flask,Vuejs)
Refactored the UI to a new modular design using VueJs.
Automated the deployment process with AWS ECS/ECR pipeline.
Developed a multi-site deployment synchronization system using celery/beat with AWS s3 and AWS RDS
Designed and developed a control tower app to monitor local sites deployments,trigger and control synchronous events.
Integrated paystack payment as a microservice for cart checkouts with split transactions and wallet based transactions.

Intron Payment | Backend developer (Python,Flask)
A payment micro services for multiple intron services

Intron Transcribe | Backend developer (Python,Flask)
A machine learing transcription and dictation service for medical terms.

Slate | Backend developer (Django,NodeJs,NuxJs)
Developed the finance app for school fees and inventory processing.
Developed the newsletter/campaigns dispatch and tracking system.
Developed an E-testing app for assignments and exams.
Developed an online library management system.
Designed and developed a chat system using websocket and firebase

AlphaSafe | Backend developer (AdonisJS,Python-Locust tests)
Backend api development for the alphasafe savings mobile app.
Developed savings gamification system and payment services integration.

FMOH ISS | Backend developer (Django,ExpressJs,ReactJs,VueJs)
Developed django api backend.
Concurrent batch data processing design with celery.
Python data processing with pandas.
frontend dashboard development.

FMOH BHCPF report generator | Backend developer (Django,ExpressJs)
Developed a Django app for large scale conversion of xlsx data into HTML visualisation and export to PDF

MSDAT | Backend developer (Django,Golang)
Developed Django and Golang backend api
Data processing scripts using pandas