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nandanito/README.md

Nandan Joshi

Physics → software → quantum.

Director, Digital Assets at SettleMint (Tokyo). Independent research in quantum machine learning and scientific foundation models. Trained as a physicist at Göttingen.

I work across three fields that share more than they appear to — machine intelligence, quantum computing, and digital assets. Each is fundamentally about how information becomes structure, signal, and eventually knowledge.

Currently

– Leading solutions architecture and pre-sales for SettleMint's digital-asset platform across Japan and Germany — research-grade ideas moving (or not moving) through banks, regulators, and procurement.

– Running QMI Lab, an independent research lab on intelligence, learning, and representation across classical and quantum computation. Three pillars: foundations of machine intelligence (classical, publish-now), quantum machine intelligence (near-term, benchmark-driven), and quantum world models (long-horizon, agenda-setting). Active projects include hybrid quantum-classical Transformer fine-tuning for NLP and cross-lingual transfer through romanization.

– Building AstroLLM, a retrieval-grounded language model for astronomy and astrophysics. QLoRA fine-tuning on Qwen3 base models, integrated with NASA ADS, SIMBAD, and the NASA Exoplanet Archive. Custom four-track evaluation suite for grounding accuracy, tool routing, abstention, and pedagogical quality.

Background

Diplom Physik (Göttingen, 2007). DFG-funded doctoral research in stellar astrophysics at the Institut für Astrophysik Göttingen — observations at European Southern Observatory facilities in Chile, custom IDL pipelines for spectroscopic analysis.

Earlier work at the Max Planck Institute for Dynamics and Self-Organization on Q-learning agents controlling simulated artificial muscle systems, with biomechanical dynamics modeled through Lagrangian mechanics — hands-on reinforcement-learning research predating both the deep-RL era and the rise of physics-informed machine learning.

Publication: Reiners et al., A Catalog of Rotation and Activity in Early-M Stars. The Astronomical Journal 143, 93 (2012). ADS

Working with

Python · PyTorch · HuggingFace Transformers, PEFT, TRL · PennyLane · Qiskit · vLLM · Unsloth · PostgreSQL / pgvector · TypeScript · Astro

Elsewhere

qmilab.com — research lab – astrollm.org — domain-specialized LLM for astronomy – LinkedInX

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