AI Solutions Design, Integration & Deployment by Joy ChatterjeeAI Solutions Design, Integration & Deployment by Joy Chatterjee

AI Solutions Design, Integration & Deployment

Joy Chatterjee

Starting at

/hr

About this service

Summary

Build scalable, production-grade AI ecosystems tailored to business needs, leveraging CrewAI agents, LLM pipelines, RAG systems, and vector databases to optimize processes, reduce costs, and enhance decision-making. From strategy to implementation, ensure alignment with core KPIs through cutting-edge tools and cloud-native platforms.

What's included

[Technical] AI System Architecture and Deployment Package
A comprehensive package including detailed architecture diagrams, API documentation, deployment scripts (e.g., Docker/Helm), and a fully operational AI system hosted on platforms like Supabase, AWS, or GCP. Includes integration with vector databases (e.g., Pinecone) and monitoring dashboards (e.g., Grafana) - Architecture diagrams (PDF/Visio) - Deployment scripts (Docker Compose/Kubernetes YAML files) - API documentation (Swagger/OpenAPI)
[Strategic] AI Strategy and Roadmap Document
A high-level strategic document outlining the AI implementation roadmap, aligned with the client’s business goals. Includes a phased plan for scaling AI capabilities, KPI tracking mechanisms, and recommendations for future enhancements. - AI strategy roadmap (Gantt chart or timeline) - Business-aligned KPI framework - Recommendations for scalability and future use cases

Skills and tools

ML Engineer

AI Chatbot Developer

Prompt Writer