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rachel-d-07/README.md

> whoami

class Rachel:
    def __init__(self):
        self.name        = "Rachel D'Souza"
        self.role        = "MSc AI & ML Student"
        self.focus       = ["Machine Learning", "NLP", "Agentic AI", "Open Source"]
        self.currently   = "Building AI systems that solve real problems"
        self.superpower  = "Turning messy data into intelligent pipelines"
        self.belief      = "Every great model starts with a great question"

    def say_hi(self):
        print("Thanks for stopping by — let's build something intelligent together 🚀")

me = Rachel()
me.say_hi()

> current_focus

🔭 Building
  • AI Resume-to-Job Matching Agent (FastAPI + Gemini + PostgreSQL)
  • Multi-Agent AI Research Assistant
🌱 Learning
  • LangGraph & Agentic AI workflows
  • System Design for ML at scale
  • DSA for technical interviews
🤝 Contributing
  • GSSoC 2026 Open Source Contributions
  • AI/ML community projects
📚 Growing
  • Self-learning via Coursera, YouTube & research papers
  • Actively preparing for ML internship interviews

> tech_stack

Languages

Python C++ C Java HTML5 SQL

AI & ML

TensorFlow scikit-learn Pandas NumPy Matplotlib Google Gemini LangChain

Backend & APIs

FastAPI PostgreSQL MySQL

Tools & Cloud

Git GitHub AWS Anaconda Notion Canva

> github_stats



> contribution_graph

> contribution_3d

3D Contribution Calendar

> fun_facts

$ cat fun_facts.txt

⚡  I debug faster with lo-fi music playing in the background
🧠  I think in pipelines — every problem is a data flow problem
🌙  My best ideas come at 2 AM (send help)
☕  Chai > Coffee. Non-negotiable.
🎯  If I'm not building, I'm learning. If I'm not learning, I'm sleeping.

> daily_inspiration

> connect

I'm always open to collaborating on AI/ML projects, open source contributions, or just a good tech conversation.



LinkedIn Gmail Discord

Designed with 💜 by Rachel · Last updated 2025 · Open to internship opportunities

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