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numerical optimal control

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1 numerical optimal control supplier across 1 states and provinces in 1 country. Profiles show capabilities, materials, certifications, and facility locations so you can compare shops and build a shortlist.

Suppliers

DEMAJH LLC

SOUTH LAKE TAHOE, CA

Brian Demajh AI/ML Engineer & Researcher PhD computer scientist specializing in deep reinforcement learning, computer vision, and production ML systems. I build mission-critical AI for government, defense, and the enterprise, from novel research to deployed products. Git Hub Email About I'm an R&D-focused AI/ML engineer building innovative, scalable solutions for high-stakes environments. My work spans government and defense applications, early-stage startups, and Fortune-100 enterprises. My PhD research at UC Santa Barbara focused on deep reinforcement learning for closed-loop control of neural systems — building an end-to-end RL stack that ingests synchronized point-clouds of neural signals (microarray, EEG, f MRI) and learns guidance policies for both model-based and model-free control of neural subsystems. Research Expertise Deep RL (policy gradients, actor-critic, curriculum.

Bayesian filteringchurn predictioncomputer visiondeep reinforcement learningentity resolutiongraph linkingmulti-sensor fusionQA chatbot developmentsemantic searchSynthetic data generationtrajectory optimization

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