I engineer systems where mathematics meets production. From graph theory and computational geometry to deployed AI platforms and robotics infrastructure, I focus on turning complex ideas into working, scalable systems that operate in the real world.
- 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.
- 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