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Hi 👋🏼, I'm Temi Lajumoke

I am a software and machine learning engineer with over seven years of experience working on full-stack web and mobile technologies in companies like Coursera , Andela , and more. Recently, I decided to expand my interest in leveraging technology to advance human potential, by pursuing a master's degree in Computer Science (focusing on Artificial Intelligence) at Boston University
  • 🌱 I’m currently taking a deep dive into Machine Learning and Computer Vision

  • 💬 Ask me about Node, React, React Native, ASP.NET Core, AI, Open CV and ML Models

  • 📫 How to reach me: temi[at]temilajumoke.com

  • 📄 Resume

Connect with me:

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Languages and Tools I create with:

Languages

JavaScript Python CSharp TypeScript HTML5 CSS3 SQL Java Swift LaTex

Software Libraries & Frameworks

Nodejs Express Fastify dotnet ASP.NET Core Vue React React Native Redux Next Expo Angular GraphQL Apollo Jest Jasmine Mocha Stylus Sass Cypress

Machine Learning

Numpy Pandas scikit-learn opencv Open CV TensorFlow Keras

Databases

Redis MongoDB MySQL PostgreSQL FireBase

Cloud

DigitalOcean Amazon AWS Microsoft Azure Heroku Docker Nginx

Tools

Git GitHub BitBucket GitLab CI/CD Linux Jira TCP/IP

Temi Lajumoke's Projects

blazor icon blazor

Blazor is an experimental .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly

cityscape icon cityscape

Cross platform mobile app built with ionic 3 to demonstrate security, social authentication and realtime data in modern mobile apps, using the ionic framework and firebase.

code-challenges icon code-challenges

Built for //BUILD 2017; this repo contains 15 minutes code challenges across data platform and analytics. Inclusive of; SQL Server on Linux, Azure SQL Database, Azure DocumentDB, Azure Search, HDInsight, MySQL as a Service, PostgreSQL as a Service, Bot Framework, Python Tools for Visual Studio, R Tools for Visual Studio. Get challenged, learn new stuff, fork the repo, contribute to the repo, and get a sneak peak the exciting world of Microsoft products and services.

coronavirus-tracker icon coronavirus-tracker

WIP iOS and Android app built with React native, for tracking coronavirus cases in Nigeria

cs505-spring-multilingual-twitter-classification icon cs505-spring-multilingual-twitter-classification

Training multilingual models for sentiment analysis: by fine-tuning pre-trained multilingual language models such as multiBERT, XLMRoberta, etc. on the sentiment prediction task and comparing the performance of such multilingual models with (1) monolingual English model trained on English tweets and test on Arabic tweets translated to English (with pre-trained machine translation or Google Translate) and (2) multilingual model trained on English tweets and test on Arabic tweets (so, zero-shot classification). Do multilingual models benefit from being trained on multilingual data?

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