From proof of concept to scaled production in weeks, not quarters.

Build AI systems on proven building blocks, from retrieval and evaluation to agent workflows, local inference, and multimodal processing.

• RAG Systems: Retrieval pipelines using FAISS, Chroma, and Weaviate, with evaluation loops to improve answer quality and relevance
• MCP Servers: Model Context Protocol services for AI assistants, agent workflows, and internal tools that need secure, structured tool access
• Multi-Agent Systems: Specialist agent workflows with task decomposition, tool use, and multi-step orchestration for research, search, and domain tasks
• Local/Private AI: Ollama-based deployments for privacy-sensitive environments where local inference and data control matter
• Computer Vision and Multimodal AI: RTSP processing, OCR, vision model integration, and voice-to-form pipelines that combine text, image, and audio inputs

Modernize existing systems or launch new services with cloud patterns that emphasize reliability, repeatable delivery, and operational clarity.

• Cloud Modernization: Migration planning and staged modernization across Azure, AWS, and hybrid environments
• Microservices: Service decomposition, messaging, CQRS-style patterns, and API design for maintainable distributed systems
• Containers and Delivery Pipelines: Docker, Docker Compose, CI/CD workflows, and repeatable environments for development and deployment
• Serverless and Managed Services: Practical use of managed cloud services where they reduce operational burden and speed up delivery
• Infrastructure as Code: Terraform-driven provisioning and environment setup for consistent infrastructure changes

Deliver full-stack software quickly with a disciplined engineering approach, modern tooling, and strong backend foundations.

• Full-Stack Development: Python and Django, .NET, and TypeScript applications with maintainable backend and frontend architecture
• AI-Accelerated Coding: GitHub Copilot, Cursor, and v0 for 3x faster development cycles
• API-First Design: REST APIs, service integration, and backend workflows designed for long-term maintainability
• Real-Time and Event-Driven Workflows: Messaging, queue-based processing, and streaming-friendly patterns where they fit the problem
• Enterprise Integration: Practical integration with line-of-business systems and modernization of existing internal platforms