Become a Forward Deployed AI Engineer Ship AI Into Real Businesses

Build the observability stack for LLM systems with tracing, metrics dashboards and CI-integrated evals.

Run a client discovery engagement that turns a vague business ask into a signed, estimated project scope.

Reverse-engineer an undocumented legacy system with CDC and entity resolution to build a clean sync pipeline.

Benchmark CoT, self-consistency and tree-of-thought against a zero-shot baseline to find the best cost-quality tradeoff.

Build a multi-turn support assistant with a role-contract system prompt, then red-team it against 8 attack classes.

Build a provider-agnostic LLM client with async streaming and caching to compare cost and latency across providers.

Pull 50,000 paginated records from a flaky API through a fault-tolerant pipeline with retries and checkpointing.

Build a production RAG pipeline over company policy documents with chunking, embeddings and vector retrieval.

Lift retrieval quality with hybrid BM25 and vector search, cross-encoder reranking and RAGAS evaluation.

Build a RAG agent that decomposes complex questions, retrieves across hops and grounds every answer in citations.

Fine-tune a small open-source model with LoRA/QLoRA to outperform a larger general model on a narrow task.

Build a tool-calling agent on MCP tool servers, with an arbiter layer that gates and evaluates every action.

Build a stateful claims-processing agent with persistent memory and a human-in-the-loop approval step.

Turn a notebook prototype into a production-grade async API, containerised and deployed with CI/CD.

Build the observability stack for LLM systems with tracing, metrics dashboards and CI-integrated evals.

Run a client discovery engagement that turns a vague business ask into a signed, estimated project scope.

Reverse-engineer an undocumented legacy system with CDC and entity resolution to build a clean sync pipeline.

Benchmark CoT, self-consistency and tree-of-thought against a zero-shot baseline to find the best cost-quality tradeoff.

Build a multi-turn support assistant with a role-contract system prompt, then red-team it against 8 attack classes.

Build a provider-agnostic LLM client with async streaming and caching to compare cost and latency across providers.

Pull 50,000 paginated records from a flaky API through a fault-tolerant pipeline with retries and checkpointing.

Build a production RAG pipeline over company policy documents with chunking, embeddings and vector retrieval.

Lift retrieval quality with hybrid BM25 and vector search, cross-encoder reranking and RAGAS evaluation.

Build a RAG agent that decomposes complex questions, retrieves across hops and grounds every answer in citations.

Fine-tune a small open-source model with LoRA/QLoRA to outperform a larger general model on a narrow task.

Build a tool-calling agent on MCP tool servers, with an arbiter layer that gates and evaluates every action.

Build a stateful claims-processing agent with persistent memory and a human-in-the-loop approval step.

Turn a notebook prototype into a production-grade async API, containerised and deployed with CI/CD.

Build the observability stack for LLM systems with tracing, metrics dashboards and CI-integrated evals.

Run a client discovery engagement that turns a vague business ask into a signed, estimated project scope.

Reverse-engineer an undocumented legacy system with CDC and entity resolution to build a clean sync pipeline.