Stellar

Crafting innovative solutions through code.

As a software developer and entrepreneur, I am passionate about transforming ideas into tangible solutions. I thrive on innovation and enjoy sharing my journey and insights to inspire and guide others in their own endeavors.

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Certifications

Expertise in Full-Stack Development & Artificial Intelligence

You can scroll through 18 certifications I have earned in the past. Feel free to click on the badge & it will take you to Credly for verification.

Isaiah Bjorklund - Meta Full-Stack Software Engineer Certificate

Portfolio

Check out my latest completed project below or take a look at my portfolio.

Clipkingz

Automatically Clip Streams to Short-Form in Real-Time.

Python Bots & Scripts

Web Scraping Tools

Process Automation

SaaS Development

Landing Page Development

Mobile App Development

Weekly Newsletter

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My Tech Stack

Depending on the application that needs to be built, the tech stack will vary but I have listed the technologies that I use the most frequently.

Front-End

Next.JS

Next.js is utilized for it's fast performance, enhanced SEO, and seamless React integration, enabling the creation of interactive, modern web applications.

TailwindCSS

Tailwind CSS is employed to swiftly design and customize UI components, ensuring responsive and visually consistent layouts across the web application.

Tools & Libraries

Utilizing a variety of external libraries and tools enables the enhancement of application functionality, integration of advanced features, and ensures a robust and efficient user experience.

Backend

APIs

APIs serve as the communication bridge between the frontend and server, efficiently handling data transactions and business logic to enhance the application's functionality and user experience.

Microservices

Microservices architecture breaks down a backend application into smaller, independent services that communicate via APIs, providing scalability, easier maintenance, and faster development cycles.

Databases & Storage

Databases and storage solutions are integral parts of the backend, responsible for securely storing, managing, and retrieving data efficiently to ensure seamless interaction and data integrity for the application.

Artificial Intelligence

Machine Learning

Machine learning models are used for tasks like image transformation, generating visuals from text, natural language processing, and many other use cases.

Model Deployment

Model deployment involves integrating and running machine learning models in a production environment, ensuring they are accessible, scalable, and maintainable for real-time or batch processing applications.

Fine-Tuning

Fine-tuning is the process of adjusting a pre-trained machine learning model on a specific task or dataset, enhancing its performance and accuracy for more specialized applications.

Blog

Check out my latest thoughts on AI, software development, and the wild ride of entrepreneurship.

Weekly Newsletter

Join 10,000+ Entrepreneurs Expanding Their Knowledge Every Week

I send out a weekly newsletter with updates on new business trends, entrepreneurship, and how to use artificial intelligence in your business.