class DeepakRakshit:
def __init__(self):
self.name = "Deepak Rakshit"
self.role = "Aspiring Software Engineer"
self.location = "India 🇮🇳"
self.email = "deepakrakshit505@gmail.com"
self.languages = {
"strong": ["C", "Python"],
"intermediate": ["C++", "HTML", "CSS"],
"learning": ["JavaScript", "SQL", "Rust"]
}
self.current_project = "PdfOrbit - AI-Powered PDF Toolkit 🚀"
self.interests = [
"Artificial Intelligence",
"Machine Learning",
"Automation Scripts",
"Open Source Contribution"
]
self.work_schedule = {
"peak_hours": "2AM - 5AM ⚡",
"fuel": "Coffee ☕"
}
def say_hi(self):
print(f"Hey! I'm {self.name}, building {self.current_project}")
print("Let's create something amazing together! 🚀")
me = DeepakRakshit()
me.say_hi()- 🔭 Currently building Jarvis – Autonomous AI Assistant with tool reasoning
- 🚀 Built PdfOrbit with AI-assisted development; led architecture, debugging, testing & production deployment
- 🌱 Deep diving into Data Structures (C++), Python Automation, and AI/ML
- 👯 Open to collaborate on automation tools, AI projects, and Python utilities
- 💬 Ask me about C, Python, AI development, and automation
- 📫 Reach out: deepakrakshit505@gmail.com
- ⚡ Fun fact: My best ideas come at 2 AM with coffee ☕
- 🎯 2026 Goal: Land a Software Engineering role & build impactful AI products
Tech Stack: Python, AI, Automation
Status: In Development 🔄
Links:
- GitHub: https://github.com/deepakrakshit/pdforbit
- Website: https://pdforbit.app
- API: https://api.pdforbit.app
Features:
- Intelligent PDF parsing & structured data extraction
- AI-driven document analysis & contextual insights
- Automated workflow pipelines for document processing
- High-performance file optimization & format conversion |
Tech Stack: Python, AI Agents, Automation
Status: Advanced Development ⚡
Links:
- GitHub: https://github.com/deepakrakshit/jarvis
Features:
- Agent architecture (planner → validator → executor → synthesizer)
- Parallel tool execution (async)
- Real-time tools (weather, news, search, system, IP)
- Validation + retry system (no hallucinated data)
- Smart routing (fast-path vs agent loop) |
const myApproach = {
code_quality: "Clean, readable, maintainable",
learning: "Never stop exploring",
collaboration: "Open source enthusiast",
timing: "Best code happens after midnight ☕"
};
while (alive) {
learn();
code();
debug();
repeat();
}| 💻 Code Review | 🤝 Collaboration | ❓ Questions | 💬 Chat |
|---|---|---|---|
| Happy to review! | Let's build together! | Ask me anything! | Always open! |
