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Aashi-ghub/README.md

Hi, I'm Aashi

AI Agent Builder | ML Engineer in Progress | Full-Stack Innovator

⚡ I design, build, and deploy intelligent AI agents that automate workflows, process knowledge, and turn complexity into simplicity.


Why Me?

Most students learn AI. I build AI agents that work in the real world.

  • From multi-agent research bots → to document intelligence pipelines → to autonomous news & finance assistants.
  • I merge ML, automation, and design to create products that deliver real business value.

My Impact So Far

  • HackTheBlock 2025 Winner → Built IP Registry, a decentralized IP registration system (Motoko + ICP).
  • 🎓 Microsoft SEFA Scholar → Selected for the Software Engineering program.
  • Tech Community: GDG Chandigarh (Tech Team) & E-Cell CGC → Driving open innovation & entrepreneurship.

Featured AI Projects

🔹 AI Pulse+

Your AI news & finance companion

  • Multi-agent system that fetches, filters, and summarizes daily AI & finance news.
  • Powered by RAG pipelines + Supabase edge functions.
  • UI inspired by ChatGPT for intuitive conversations.

🔹 LLM Document Processor

From raw documents → to structured intelligence

  • Extracts, reasons, and delivers JSON-ready insights from unstructured PDFs, DOCX, and emails.
  • Built using semantic search + RAG + explainable reasoning.

🔹 Agentic Research Bots

Autonomous task orchestration

  • Multi-agent workflows using LangGraph & LangChain.
  • Deploy agents that search, filter, reason, and summarize autonomously.

🛠 Tech Stack

AI & Agents → LangGraph · LangChain · LLMs · RAG Pipelines · Vector DBs
Backend & Automation → Node.js · Express.js · Supabase · n8n · Docker
ML Core → Python · C++ · DSA · Scikit-learn · NLP
Frontend & UX → React.js · TypeScript · TailwindCSS · Figma · Adobe XD
Cloud & Infra → Azure · ICP · GitHub Actions


⚡ My Agent Philosophy

class Aashi:
    def __init__(self):
        self.focus = "AI Agents + Automation"
        self.values = ["Execution > Theory", "Impact > Hype", "Learning Never Stops"]
    
    def build(self, problem):
        return f"🤖 Deploying AI agent to solve: {problem}"

me = Aashi()
print(me.build("Knowledge automation for businesses"))
Current Focus
Scaling multi-agent AI assistants for enterprise workflows.

Collaborating on AI + automation projects with business impact.

🌐 Connect & Collaborate 📌 LinkedIn- https://www.linkedin.com/in/aashi-raghuwanshi
Open for internships, collaborations, and AI product building.

Pinned Loading

  1. pymac pymac Public

    A Python Interface to OS Accessibility, API for UI Automation and AI Agents.

    Python 1

  2. BHP-Prediction-Model BHP-Prediction-Model Public

    Jupyter Notebook

  3. HackSpehere HackSpehere Public

    TypeScript 2

  4. NestSenseAI-frontend NestSenseAI-frontend Public

    Forked from NestSenseAI/NestSenseAI-frontend

    TypeScript

  5. FIRESIGHT FIRESIGHT Public

    TypeScript

  6. Trash2Cash Trash2Cash Public

    TypeScript