- ZuGrama AI Governance Fellowship — Fully Funded.
- MLH Top 50 Hackers (2023), selected from 150k participants
- TUM.ai × Public Makers — 3rd Place
- SlushD Hackathon — Finalist
- StartHack, Solana, Aptos — Scholarships
Research identity: My research investigates how human cognitive mechanisms—biases, framing effects, perceptual heuristics, conceptual generalization, and deliberative reasoning—emerge and propagate in large AI systems. I build cognitively grounded computational models that bridge human psychology with LLM behaviour.
Human-centred AI · Cognitive Modelling · Agent-Based Simulation
I work at the intersection of multi-agent AI, human-in-the-loop systems, and cognitive modelling—developing computational frameworks that reveal how human-like mechanisms emerge in large language models.
Python, JavaScript (Node.js), SQL, LaTeX, HTML/CSS
PyTorch, TensorFlow, Transformers (HuggingFace), LangChain, Scikit-learn
PostgreSQL, MongoDB, Firestore, Docker, Kubernetes, Weights & Biases
Git, VS Code, Jupyter, Pandas, NumPy, Matplotlib, OpenAI / Azure APIs
Bias formation, framing effects, motivated reasoning, schema activation
Reasoning-aware interfaces, mental-model alignment, human-in-the-loop systems
Multi-agent LLM ecosystems, multimodal cognition, memory & knowledge structures
Technical University of Munich — MSc (2025–Present)
University of Texas at Austin — MSc AI (2025–Present)
University of London — BSc Computer Science (2020–2024)
Email: rajg.maurya@tum.de
Website: rajgm.com
GitHub: github.com/RajGM
LinkedIn: linkedin.com/in/RajGM29