Demajh
Brian Demajh, AI/ML Engineer

“We pioneer R&D breakthroughs in AI/ML to solve impossible challenges in high-stakes domains.”

Innovations unlocked. R&D accelerated. Missions accomplished.

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.

R&D Capabilities

Reinforcement Learning

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.

MLOps & Infrastructure

Designing CI/CD pipelines, GPU orchestration, and compliance-grade deployments that scale from prototypes to global production clusters.

Multi-Sensor Fusion

Integrating lidar, vision, and IMU data with Bayesian filtering and trajectory optimization for robust perception and decision-making in uncertain settings.

Computer Vision

Building CV pipelines for process mining, fraud detection, and identity verification, leveraging mixture-of-experts models and synthetic data generation.

R&D Case Studies

Vision-Based Process Mining

  • Deployed CV pipeline tracking operator-machine interactions across four factories
  • Reduced safety incidents by 43% and saved $2.1M/yr
  • Guided $100M US reshoring effort from China

Real-Time Churn Prediction

  • Unified 7 SaaS streams into Snowflake lake-house with XGBoost + SHAP
  • Production system for 150+ mid-market customers
  • Supports Series A company with explainable churn/renewal predictions

Identity Verification Fraud Detection

  • Built MoE CV models outperforming AWS Rekognition on face-match tasks
  • Developed synthetic data generator for face-swap detection on IDs
  • Checks >50K jobs daily for fraud in production

Team

Brian Demajh

Brian Demajh

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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Testimonials

Brian Demajh is an exceptional data and applied ML scientist and leader. He consistently converts complex projects and technical challenges/tasks into manageable action plans. His recommendations are concise, data-driven, thorough and immediately actionable. Brian integrates quickly and well with existing teams, elevating their performance and knowledge. Our data science team’s capability expanded substantially the day after he joined us. He is methodical, approaches problems rigorously, and often gets ahead of schedule. Working with Brian is straightforward—no surprises, no spin, pure directness. He earns trust quickly, then reinforces it with concrete results. His calm demeanor steadies in high-pressure situations, his presence, determination, resilience and depth of expertise significantly lowers project risk.

— Neal Oman, CTO Vouched.id

Brian Demajh stands out in a field crowded with pretenders—he actually delivers working solutions that create real business value. He navigates ambiguous problems with confidence, doesn't get paralyzed by incomplete data, and consistently drives projects to completion without needing constant direction. His combination of rigorous credentials and hands-on problem-solving ability makes him invaluable to any team tackling complex data challenges.

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Brian Demajh stands out in a field crowded with theoretical knowledge but lacking practical execution. What impressed me most is his ability to navigate ambiguous problems with confidence. We challenged him with a particularly complex NLP issue and he was very successful in developing a solution. Brian doesn't get paralyzed by incomplete data or shifting requirements, but instead develops robust approaches that account for uncertainty. He consistently identifies opportunities and drives projects forward without needing constant direction, yet never leaves work half-finished. While many data scientists can discuss algorithms eloquently, Brian actually delivers working solutions that create real business value. His combination of rigorous academic training and hands-on problem-solving ability makes him invaluable to any team tackling complex data challenges.

— Justin Beals, CEO StrikeGraph

I've worked with him in many different contexts and can recommend him without reservation. He's capable of huge lifts while also mentoring your staff engineers to accomplish more themselves.

— Jay Bartot, CTO AirSignal

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