B.Tech -- Mathematics & Computing
Indian Institute of Technology (IIT) Mandi

• 📧 Email: rajmahimaurya@gmail.com
• 🔗 LinkedIn: https://www.linkedin.com/in/raj-maurya-271b32237
• 🌐 Portfolio: https://rajm012.vercel.app
• Resume Drive: https://drive.google.com/drive/folders/1RQ91XjJhHK-vf9zQU5Vxch2O6UvNKecf?usp=sharing

I'm a builder who thinks in equations and ships in code. My GitHub is a lab notebook of what happens when you mix a math degree with too much curiosity and songs.

Current Obsessions: Making AI work locally (not in some distant cloud), and figuring out if neural networks can actually make differential equations less painful, and as side quests making some webs to just go with flow.

Reality Check: Have obsession with what I do, currently working on a digital twin or Personalized Agentic Helper. I've built everything from AI website generators to Web security or exploitation tools.

B.Tech in Mathematics & Computing
Indian Institute of Technology (IIT) Mandi
Expected Graduation: 2027

• CGPA: 8.73 (after 6th semester)
• Core Coursework:
  • Data Structures & Algorithms
  • Probability & Statistics
  • Mathematical Foundations of Computer Science
  • Machine Learning & Deep Learning
  • Data Science
  • Linear Algebra & Differential Equations [partial too]
  • Mathematical Modelling
  • Computer Networks
  • Quant Finance

# What I reach for daily
DailyDrivers = {
    "Languages": ["Python", "JavaScript", "C++(rare)", "Bash"],
    "Frontend": ["React", "Next.js", "React-Native", "HTML-CSS"],
    "Backend": ["Node.js", "FastAPI", "Flask", "GraphQL"],
    "Databases": ["MongoDB", "PostgreSQL", "Supabase"],
    "AIML": ["TensorFlow", "PyTorch", "Scikit-learn", "OpenCV"],
    "Security": ["Cryptography", "Network Analysis", "Ethical Testing"],
    "Devops": ["Docker", "Git", "Vercel", "Render"],
    "Quantum Computing": ["Qiskit", "AER", "Quantum Circuits/Gates"],
    "Softwares": ["COMSOL", "Matlab", "Packet Tracer"]
}

# What I'm currently learning
LearningNow = ["Advanced Cryptography", "Kubernetes", "Rust", "Agents", "Fluid Dynamics", "Quantum Computing"]

# My philosophy
Principles = [
    "Build locally-first when possible",
    "Privacy isn't optional",
    "Math should solve real problems",
    "Documentation saves future-you"
]

IIT Mandi (Winter Intern)

• Studied NP-completeness and complexity classes
• Explored approximation algorithms and optimization strategies

ADDPINCH (Summer Intern)

• Worked on App Development and Bugs solving
• Learned to work with GraphQL

Himshikhar IIT Mandi('26)

• Worked as T.A. in the course Software Development with AI
• Active lab TA, helping to understand the core SDE enhancing with AI

• Theory-aware deep learning and AI systems
• Mathematical modeling of real-world systems
• Fluid Dynamics and Micro Fluids [mathematical persa]
• Quantum Computing and Particle Physics

• An agent to take off all your works and work locally (Who wanna share their personal embarrassments online?)

• PINNs for Differential Equations - Making Bessel's equations slightly less terrifying with neural networks
• Traffic Flow Prediction - Applying PDEs and LSTMs to understand why Indian traffic feels uniquely chaotic
• Financial Modeling with Neural Networks - Because if math can't beat the market, what can?

• GenWeb - AI website builder for when I need a landing page fast
• Browser Extensions - Dark mode everywhere, smart note-taking, and motivational quotes when I'm procrastinating
• SubtitleAI-Pro - To get subtitle for some Malayalam, Odia movies

• Computational Complexity: What can't we compute efficiently, and why?
• AI for Mathematical Modeling: When do neural networks actually help vs. just adding complexity?
• Applied Cryptography: Building things that stay secure in the real world

I built a password manager because I kept forgetting passwords. I built a file encryption tool because I didn't trust cloud services. The best tools come from personal pain points.

Local AI (Ollama), browser-based object detection, local-first architecture. Your data shouldn't have to leave your device for basic functionality.

Differential equations can model traffic flow. Linear programming can optimize resources. Graph theory can secure networks. Abstract math becomes beautiful when it solves real problems.

My GitHub is messy, my commit messages are sometimes "fixed that thing," and my early projects are embarrassing. That's how learning works.

When I'm not coding:

• Explaining why your password "password123" is a bad idea to anyone who will listen
• Learning why it's hard to break some crypto systems
• Exploring why science focus on How it works? instead of Why it works?
• Playing with 3D graphics and making things spin for no reason
• Discovering Cinemas and Streams

My ideal project has:

1. A mathematical core to nerd out on
2. Real human impact (accessibility, privacy, education)
3. Technical challenges that make me learn something fundamentally new
4. Good songs to vibe on

I'm actively looking for opportunities where I can work on:

• AI/ML with mathematical foundations [PINNs]
• Full-stack development with real impact
• Pure Research or Engineering
• Anything that makes me say "wait, how does that work?" daily
• I am also trying Quantum Computing [can work here too]
• Building Major Technical Project in Fluid Dynamics [love to expolre]

📧 Email: rajmahimaurya@gmail.com 💼 LinkedIn: Raj Maurya 🐙 GitHub: @rajm012 🌐 Portfolio: rajm012.vercel.app

P.S. If you're a recruiter, yes, I'm looking for opportunity. Yes, I don't like to solve FizzBuzz in an interview (unless you want to). Let's talk about hard problems instead.