Cornelius Byas

I’m an AI developer and software engineer with over 4 years of hands-on experience designing, building, and deploying intelligent conversational solutions. My passion lies at the intersection of language models and real-world applications: I help businesses transform static websites and traditional workflows into dynamic, data-driven experiences powered by ChatGPT and custom LLM pipelines.

From day one, I’ve prioritized clean, maintainable code and transparent collaboration. Whether I’m integrating the OpenAI GPT-4 API into a React dashboard or fine-tuning a bespoke model on proprietary datasets, my goal remains the same: deliver reliable, scalable AI features that solve concrete business challenges. I choose Python for backend and automation tasks, JavaScript/TypeScript for front-end components, and React to craft intuitive single-page applications. On the data side, I work with both SQL and NoSQL databases to ensure conversational contexts are stored, retrieved, and updated efficiently.

My typical project workflow looks like this:

1. Discovery & Planning
2. We start by mapping out your key use cases—customer support, knowledge base search, interactive tutorials, or whatever drives the most value.
3. Prompt Engineering & Prototype
4. I craft targeted prompts and build a rapid prototype so you can see the AI in action and refine the conversation flow.
5. Integration & Testing
6. I connect the AI endpoints to your existing app or API layer, implement database hooks as needed, and run thorough end-to-end tests.
7. Optimization & Scaling
8. After initial feedback, I’ll fine-tune the model (if required), optimize latency, and add monitoring dashboards so you can track usage and performance.
9. Documentation & Handoff
10. Every project wraps up with detailed code comments, architectural diagrams, and a clear README—so your in-house team can continue to build on the foundation we’ve laid.

Beyond pure development, I’m passionate about continuous learning. I stay up to date with the latest advancements—whether that’s experimenting with emerging open-source LLMs like LLaMA and Falcon, exploring multimodal AI via Google Gemini, or leveraging tools like LangChain for complex agent orchestration. This commitment to growth ensures that the solutions I deliver are not only functional today but primed for future enhancements.

If you’re looking for a developer who combines technical expertise with a user-centric mindset, let’s talk. I excel at turning AI theory into production-ready features that engage users, streamline operations, and spark innovation. Reach out with your use-case, and I’ll help you chart a clear path from concept to a live, AI-powered application.