Bubble developer available for projects

Are you in search of a Bubble developer?

I’ve got 4,130+ hours as a full-time Bubble Developer, 6 years in Web Development, and Figma Design.
If you’re looking to integrate your Bubble app with AI and other tools, my experience covers APIs like OpenAI (ChatGPT/GPT-4), QuickBooks, Binance, Stripe, PayPal, SignNow, and more.
I’ve worked on diverse projects including marketplaces, dashboards, etc

Here is an example of what i can build using Bubble.io;

I can develop an MVP of a custom GPT would incorporate the functionalities of Open’s AI Assistant which would be basically a converstional chatbot where users can upload a file[the file document will function as the knowlegde base for the chatbot] and have the chatbot respond to queries/questions based only on the context of the document uploaded to the web application.

Hi Tobixzy,

My name is Stephen DeTata, and I’m the founder of AESK Inc., a startup focused on automating customer service interactions and eliminating wait times. We’ve completed a comprehensive 107-section blueprint for our platform and are now ready to build the MVP.

I came across your profile and was impressed by your Bubble experience, especially your API integration work. I believe your skill set would be a great fit for AESK.

I’ve prepared a brief project summary and NDA. If you’re interested, I’d love to send those over and set up a quick call to discuss the scope, budget, and timeline.

Please let me know the best way to proceed or feel free to message me directly. Looking forward to hearing from you.

Best regards,
Stephen DeTata
Founder, AESK Inc.
Email me at Steve@detatalaw.com

1 Like

Not a potential client (I’m a dev myself), but I’m curious .. are you using chunking to cut down on token costs and vector embeddings for smarter retrieval?

I feel like a lot of devs build features that technically work but aren’t optimized, so every API call ends up being way more expensive than it should be. Without chunking, you’re pushing too much unnecessary text into each request, and without embeddings, you’re not making searches as efficient as they could be. That combination can easily make queries 10x more costly than they need to be.