• Agentic AI systems & RAG architectures
• Fullstack AI platforms (React / Next.js / Node / Python / .NET)
• Applied ML (PyTorch, embeddings, semantic systems)
• High-performance C++ / computational geometry
• Robotics & digital manufacturing systems
• Quantitative research infrastructure (QuantConnect / LEAN)
• Cloud-native distributed systems

Building secure, scalable AI systems that move beyond prototypes into real operational workflows.

Algorithm development, discrete math, graph theory, optimization, and CAD/CAM integration.

Industrial robotic control systems, manufacturing simulations, and digital-physical integration.

Founder at Graph Technologies
Building advanced AI-driven platforms including:

• AI-driven manufacturing OS
• Design-to-production automation tools
• Agentic workflow systems
• Knowledge systems for legal & financial domains

LinkedIn: https://www.linkedin.com/in/whoisryan/
Website: https://www.graphtechnologies.xyz

• Multi-agent orchestration frameworks (LangChain/LangGraph & custom systems)
• Retrieval-Augmented Generation (RAG) with hybrid vector + symbolic retrieval
• Embedding pipelines, semantic indexing & memory architectures
• Evaluation frameworks, monitoring & production deployment
• Deep learning systems (PyTorch, PyTorch3D)

• React & Next.js (SSR/ISR, edge rendering, streaming)
• TypeScript-first architectures
• React Three Fiber (R3F) for real-time 3D interfaces
• TailwindCSS-based scalable design systems
• Secure authentication flows & role-based interfaces
• Real-time UI systems & data visualization

• Node.js & Python (FastAPI) service architectures
• .NET / C# high-performance backend systems
• Asynchronous processing, background jobs & workflow engines
• Domain-driven architecture & modular system design

• RESTful services with structured validation
• GraphQL schema design & resolver optimization
• gRPC for high-performance internal communication
• API versioning, authentication (JWT/OAuth), access control

• PostgreSQL / SQL schema design & performance tuning
• Supabase (auth, RLS, real-time systems)
• Firestore document-based architectures
• Redis (caching, pub/sub, ephemeral state)
• Vector databases & hybrid retrieval systems
• Cloud platforms: Vercel, Google Cloud Platform, Scaleway
• Docker, CI/CD pipelines, containerized & serverless deployments

• High-performance C++ & C# systems
• Python research stacks (NumPy, Pandas)
• Discrete mathematics, graph theory & optimization
• Geometry kernels & simulation engines
• Performance-critical system design

• Six-axis robotic control frameworks
• Kinematics & parametric toolpath generation
• CAD/CAM system integration
• Digital twin simulation systems
• Design-to-fabrication automation pipelines

• Python & C++ research pipelines
• QuantConnect / LEAN algorithmic trading framework
• Strategy backtesting systems
• Data ingestion, feature engineering & execution logic