Mohsen Arjmandi

Building agent infrastructure for shipping and running enterprise software.

I measure what LLM systems actually need - context, model capacity, harness - at constant quality.

Now shipping idfagent - agentic application delivery in production at evolutionID.

Current Work

Agent infrastructure engineer - agent runtimes, sandboxed execution, constrained decoding.

I build production agent infrastructure and constrained-decoding systems for LLMs. 15+ years shipping production AI - agent runtimes, grammar-constrained decoding, neuro-symbolic agents, distributed systems. Trained through Iran's exceptional-talents system.

Currently architecting idfagent - a multi-harness, multi-provider, sandboxed agent runtime in production at evolutionID. The thesis: the session, not the harness, is the canonical compliance and evaluation unit.

Inventor of GRID (Grammar-Railed Decoding, EP 4687028) - patent deployed in production coding agents.

Co-founded and led two AI companies as CTO; now CTO at evolutionID, building agent infrastructure hands-on. Three granted patents (EPO, USPTO) and two further applications.

Specializations: Agent Infrastructure • Access Control for LLMs • Evaluation Methodology.

Selected Works

Patents

Granted

Applications

Research

Directed a research roadmap yielding 6 peer-reviewed publications (LREC, SPIE) that directly translated into enterprise product capabilities. Spearheaded the creation of MirasText, the largest automatically generated Persian corpus, to unlock high-accuracy, at-scale Sentiment Analysis, NER, and Topic Modeling for unstructured social streams. Continuously drove platform innovation by deploying Active Learning to slash annotation costs, engineering graph-based algorithms for trend extraction in noisy data, and developing multimodal audio systems (MirasVoice, Acoustic Fingerprinting).

Tools

Applications, tools and platforms I build to help knowledge workers

Writings

Honors & Memberships

  • LEGIC Consultant Partner RFID/NFC protocols expertise
  • Invited Reviewer - SURGeLLM Workshop @ ACL 2026 Peer review service

Press & Talks