Amritansh

Founder and researcher focused on neuro-inspired, engineering-first AI approaches. Through Neurodynamic AI (founded 2018) he pursues research tracks that bridge computational neuroscience (spiking neural models, adaptive resonance theory) and modern ML (deep‑symbolic learning, Bayesian reinforcement learning), aiming to build scalable, interpretable intelligence systems informed by neuroscience. neurodynamic+2

Hands‑on experience with biomedical data engineering and reproducible research: contributed to the OMOP CDM ETL work (ETL-CMS) while at UNM, including implementation and documentation to convert large synthetic Medicare datasets to OMOP CDMv5 for research and tooling. github+1

Early‑stage founder and operator with startup and accelerator exposure: co‑founded ARMUR (Armur AI) and was involved in accelerator/Techstars-related activity; experience indicates both product‑building and community/mentor roles in AI and web3 spaces. tracxn+2

Active in public technical communities and profiles (ResearchGate, Kaggle) reflecting a mix of academic and practitioner interests in ML, computer vision, and applied data science. researchgate+1