Are you looking for a senior AI engineer who can architect and deploy production ready AI systems, not just connect an API to a chatbot. You are in the right place.
I build AI agents, RAG systems, and LLM powered SaaS applications for startups and growing businesses that need reliable, scalable AI infrastructure rather than a quick prototype that breaks under real usage.
On the RAG and knowledge side, I design retrieval augmented generation pipelines using vector databases such as Pinecone and pgvector, so responses stay accurate and grounded in your actual documents and data instead of relying on the model's guesses. This covers document ingestion, chunking strategy, embedding generation, and retrieval tuning for low latency and high relevance.
On the agent and automation side, I deploy autonomous multi agent workflows using the OpenAI Agents SDK, with stateful tool calling and orchestration across multiple steps. Where needed, I also build custom MCP servers that securely connect your LLMs to local databases, enterprise APIs, and internal filesystems.
For the SaaS layer, I build the backend and infrastructure around the AI, including FastAPI microservices, secure APIs, authentication, and deployment on AWS, GCP, or your preferred cloud environment, so the product is ready for real users and can scale as demand grows.
If you have an idea, an existing prototype that needs to be made production ready, or a specific integration in mind, I can scope it and deliver a working system end to end.
