Gradient Methods is an [applied AI + cloud] design and build firm. We build scalable AI systems and cloud-native platforms, particularly for companies with unique or high-scale needs.
Founded by Joshua, a hands-on technologist with 15+ years of experience across early-stage startups, large enterprises, and federal agencies. Joshua has worked with 70+ organizations over the past decade and a half solving hard problems in generative AI, distributed systems, and cloud infrastructure.
- Applied AI & Generative AI: Production RAG pipelines, LLM orchestration, AI agent frameworks, fine-tuning, evaluation, and responsible deployment
- Cloud Architecture & Engineering: Serverless and event-driven design, cloud migrations, infrastructure-as-code, and cost optimization across AWS, GCP, and Azure
- Distributed Systems & Performance: High-availability architecture, latency reduction, resilience engineering, and scaling strategies for mission-critical platforms
- Fractional CTO & Engineering Leadership: Embedded technical leadership, architecture reviews, team building, hiring, and technical due diligence
We specialize in high-scale FinTech, financial services, and crypto, where reliability, compliance, and performance are non-negotiable. We also have experience building gaming, mobile, retail, climate and sustainability, and SaaS systems.
We offer project-based, retainer, and hourly engagements. No matter the model, we ship real architecture, working code, and documentation.
Website: gradientmethods.com LinkedIn: linkedin.com/company/gradientmethods