Technical leader with 15+ years scaling distributed systems and deploying NLP/RL models in production. Specialist in Inference-Time Compute, Constrained Decoding, and Agentic Architectures. Combining deep research in reasoning with CTO-level execution in high-reliability enterprise environments.
Led two research-based ventures, Miras and Eveince. Shipped multiple AI products and published research on NLP, language models, and speech. Five patents in USPTO and EPO covering high-scale ML systems, in-memory computation, and error-free AI code generation.
Currently researching out-of-distribution generalization, test-time learning, and agent scaling. Building Sensi: Test-Time Induction Framework & Dynamic World Modeling.
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).
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