“We pioneer R&D breakthroughs in AI/ML to solve impossible challenges in high-stakes domains.”
Demajh is an R&D-focused AI/ML firm specializing in innovative, scalable solutions for high-stakes environments—including government and defense applications alongside scrappy startups and Fortune-100 enterprises. From cutting-edge prototypes to robust production systems, we diagnose, develop, and deploy mission-critical AI technologies at break-neck speed.
Developing advanced RL algorithms for autonomous agents in complex, dynamic environments, including policy gradients, actor-critic methods, and curriculum learning for high-stakes control systems.
Designing CI/CD pipelines, GPU orchestration, and compliance-grade deployments that scale from prototypes to global production clusters.
Integrating lidar, vision, and IMU data with Bayesian filtering and trajectory optimization for robust perception and decision-making in uncertain settings.
Building CV pipelines for process mining, fraud detection, and identity verification, leveraging mixture-of-experts models and synthetic data generation.
Founder & Principal AI/ML Engineer
PhD in Computer Science from UC Santa Barbara (Deep Reinforcement Learning for Control of Neural Systems). 10+ years in ML, with expertise in PyTorch, AWS, Snowflake, and others. Led R&D at Madrona Venture Labs and Surudo, delivering seed-funded products and VC-backed pilots.
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