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@SaurabhCodesAI

saurabh

SaurabhCodesAI

Hi, I’m Saurabh Pareek, a student and self taught AI engineer learning by building real tools in public.

ENTAERA is my open source learning project: a multi provider AI agent system built to understand how real agents work under the hood. Instead of just following tutorials, I’m learning the fundamentals myself, async patterns, provider fallback chains, memory systems, routing logic, and error handling, by implementing them step by step in pure Python.

I don’t claim to be an expert. I’m actively learning while building this project, improving my skills through debugging, reading docs, experimenting, and studying modern AI systems. ENTAERA exists so that I (and others) can learn agent engineering transparently, without hidden complexity or hype.

Your sponsorship directly supports my learning journey:
• API credits so I can test models properly
• Cloud hosting for demos and reproducible examples
• Time to study, improve, and refactor ENTAERA
• Better documentation so other learners can benefit too

As I grow, ENTAERA grows with me.
Supporting this project helps a young developer learn deeper, build better, and share everything openly with the community.

Thank you for helping me continue this journey.

@SaurabhCodesAI

My goal is to reach $100/month so I can consistently run ENTAERA’s experiments, API calls, multi provider stress tests, model comparisons, and a public demo. This funding directly fuels my learning journey as a young developer building real AI systems from scratch. Every contribution helps me study deeper, test better, and keep improving ENTAERA for the community.💙

Featured work

  1. SaurabhCodesAI/ENTAERA

    A multi AI integration system that started as curiosity and became a solid foundation for understanding modern AI development

    Python 6
  2. SaurabhCodesAI/snap2slides

    AI powered tool leveraging Gemini Vision Pro , Slides and API to transform visual notes into structured presentations in seconds.

    TypeScript 4

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✨Your contribution fully funds ENTAERA’s semantic memory upgrade:
sentence transformers integration, FAISS vector storage, evaluation benchmarks, documentation, and a public demo.

You will be listed in the README, the Roadmap, and the v0.2.0 release notes as a Feature Funder.
This directly enables a major open source learning milestone. 🔬