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adefolahan Akinsola

@adefolahanakinsola

Backend Python Engineer at WallFly, integrating AI models into real-time meeting transcription pipelines for a SaaS product.

Nigeria
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At WallFly LLC, I contribute to a real-time audio pipeline for an AI-powered SaaS product that listens to government meetings. I integrated AI models to improve transcription quality and automated connecting to, listening to, and disconnecting from meetings.

At NeuralFarms Limited, I developed SaaS applications and microservices with Django and Flask to support ML model delivery. I also contributed to AgroAI, developing ML models and building and deploying its product website.

I've worked on products including a custom payment processing gateway at Acepay, a multi-vendor e-commerce backend at Doxael, and WinSSIM, a desktop app for monitoring FRP quality at Crane Composites.

Experience

Work history, roles, and key accomplishments

WL
Current

Lead Backend Python Developer

WallFly LLC

Jun 2023 - Present (3 years 4 months)

Contributed to an automation pipeline for real-time audio stream processing and transcription for an AI-powered SaaS tool. Integrated AI models to improve transcription quality and automated meeting connectivity.

WH

Backend Developer

Welcome Homes

Mar 2022 - Feb 2023 (11 months)

Worked on the Welcome Geometry Engine, a REST API performing geometry operations on parcels. Developed tests and built CI/CD pipelines using GitHub for Heroku servers.

DO

Backend Developer

Doxael

Apr 2022 - May 2022 (1 month)

Built the backend for a multi-vendor e-commerce web and mobile application using Flask and MySQL. Designed backend APIs in collaboration with mobile developers and deployed to Heroku.

CC

Desktop App Developer

Crane Composites

Apr 2021 - May 2022 (1 year 1 month)

Designed and developed WinSSIM, a desktop app monitoring FRP quality during production. Built the algorithmic backend and integrated machine learning models.

AC

Backend Developer

Acepay

Aug 2021 - Dec 2021 (4 months)

Designed and developed a custom payment processing gateway using Flask for in-app payments. Tested the web application with Selenium and deployed to AWS EC2.

AG

Machine Learning Engineer

AGxactly

Feb 2021 - May 2021 (3 months)

Contributed to the custom ML object detector and counter behind Broccoli Counter, a web app that counts crops from drone imagery. Improved the existing codebase.

Education

Degrees, certifications, and relevant coursework

Federal University of Agriculture, Abeokuta logoFA

Federal University of Agriculture, Abeokuta

Bachelor of Engineering, Mechatronics Engineering

2014 - 2021

Pursued a Bachelor of Engineering in Mechatronics Engineering from 2014 to 2021.

Coursera logoCO

Coursera

AWS Machine Learning Foundation, Machine Learning

Completed the AWS Machine Learning Foundation course.

Coursera logoCO

Coursera

Containerized Applications on AWS, Cloud Computing

Completed the Containerized Applications on AWS course.

Stanford University logoSU

Stanford University

Machine Learning, Machine Learning

Completed the Machine Learning course offered by Stanford University on Coursera.

Coursera logoCO

Coursera

Django Web Framework, Web Development

Completed the Django Web Framework course.

Coursera logoCO

Coursera

Docker Beginners Course, DevOps

Completed the Docker Beginners Course.

Coursera logoCO

Coursera

Version Control, Software Development

Completed the Version Control course.

Coursera logoCO

Coursera

Introduction to Android Mobile Development, Mobile Development

Completed the Introduction to Android Mobile Development course.

Coursera logoCO

Coursera

Programming Fundamentals in Kotlin, Programming

Completed the Programming Fundamentals in Kotlin course.

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