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Aspiring Mathematics & Computing Engineer with a keen interest in cybersecurity, machine learning, software development, and theoretical computer science. Seeking opportunities to apply my problem-solving skills and technical knowledge to real-world projects, research, and collaborative team environments.

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Raj Maurya

B.Tech Mathematics & Computing · IIT Mandi (2023 – 2027)
Physics-informed neural networks, quantitative finance and full-stack engineering.

Website · LinkedIn · rajmahimaurya@gmail.com · Résumé


I build physics-informed models — and the software around them. Most of my time goes into PINNs for fluid dynamics: neural networks that learn the solution of a differential equation from the equation itself, where a well-chosen change of variables or ansatz does more than another layer. Alongside that I study stochastic models of markets and keep shipping full-stack products.

Research

SAGE-PINN: A Singularity-free Axisymmetric Geometry-Encoded Physics-Informed Neural Network for Axisymmetric Multiphysics Flow
Raj Maurya, Joyprakash Akhuli, Doyel Pandey — arXiv:2610.10449 (2026), submitted to Journal of Computational Physics

Removes the 1/r axis singularity of cylindrical PINNs by construction (s = r², a modified stream function, exact boundary ansätze). Trained on physics alone, one setup solves 40 nanofluid stenosis cases (Re 0.46–128, Pe 10.5–2330) to within 1.6% axial-velocity error against finite-element references.

Also: a follow-up on electroosmotic flow in nanochannels (in preparation), replications of PINN blood-flow and wavy-channel studies, and Neuro-Trade — Fokker–Planck PINNs for Indian equities.

Selected work

Project What it is
JourneySync Real-time cross-channel identity resolution — AMEX CodeStreet 2026 finalist (top 6) Python · PostgreSQL · Docker
ByteChat Anonymous, encrypted chat for the IIT Mandi community — bytechat.in Next.js · Supabase · AWS
C-TAEA From-scratch constrained multi-objective evolutionary algorithm (IEEE TEVC) Python · pymoo
Deepfake Detection Fully unsupervised detection via enhanced contrastive learning PyTorch
GenWeb AI website generator — describe it, agents build and deploy it Next.js · Supabase
NetSentinel Real-time network traffic monitoring and threat detection React · FastAPI · Scapy
PDF-GPT Private, local-first chat over your PDFs with Ollama Python · Ollama
Check-It In-browser real-time object detection, no server TensorFlow.js

All ~50 projects, sorted and searchable: rajm012.vercel.app/projects

Experience

  • Research, physics-informed ML for fluid dynamics — IIT Mandi, with Dr. Doyel Pandey · 2026 – now
  • Software Development Intern — Pinch · May – Jul 2026
  • Teaching Assistant, Software Development with AI — Himshikhar, IIT Mandi · May – Jul 2026
  • Research Intern, computational complexity — IIT Mandi · Dec 2024 – Jan 2025
  • Core Member — Research Society, IIT Mandi · 2024 – now

Toolbox

Languages Python, JavaScript/TypeScript, C++, Bash, SQL ML & scientific PyTorch, TensorFlow, scikit-learn, NumPy/SciPy, COMSOL Multiphysics, MATLAB, Qiskit Modelling PINNs, ODEs/PDEs, SDEs, Fokker–Planck, optimisation Web & infra React, Next.js, React Native, Node/Express, GraphQL, FastAPI, Flask, PostgreSQL, Supabase, Docker

About

Aspiring Mathematics & Computing Engineer with a keen interest in cybersecurity, machine learning, software development, and theoretical computer science. Seeking opportunities to apply my problem-solving skills and technical knowledge to real-world projects, research, and collaborative team environments.

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