Skip to content
View genieincodebottle's full-sized avatar
718 followers · 1 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Starstruckx3

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Starstruckx3

Block or report genieincodebottle

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
genieincodebottle/README.md

I'm Rajesh Srivastava - Sharing practical GenAI stuff that actually works. Building practical AI/ML systems that scale in production.

Creator of AI/ML Companion, an interactive and production-focused AI/ML learning platform with 17 tracks, 215+ modules, 8 real-world capstones project, and continuous expansion of advanced, industry-grade projects across every track.

👉 https://aimlcompanion.com/

     

Pinned Loading

  1. generative-ai generative-ai Public

    Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

    Jupyter Notebook 1.8k 439

  2. parsemypdf parsemypdf Public

    Collection of PDF parsing libraries like AI based docling, claude, openai, gemini, meta's llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, a…

    Python 169 36

  3. rag-app-on-aws rag-app-on-aws Public

    Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

    Python 54 27

  4. aiml-companion aiml-companion Public

    A comprehensive AI/ML learning platform with 8 end-to-end projects covering the full spectrum, from classical ML to production LLM systems. Every project follows industry best-practice structure.

    Jupyter Notebook 1