Applied AI · Agent Engineering · Retrieval & Knowledge Graphs · Multimodal Systems
I work on the details that make AI dependable — from evidence-grounded answers to resilient agents and reliable data pipelines.
105 merged PRs to Utopia as of October 7, 2026 · Explore the contributions ↗
I'm a developer with a background in mathematics, working at the intersection of AI agents, information retrieval, and real-world interaction. I enjoy taking a useful idea through the engineering needed to make it dependable: clear permissions, traceable evidence, reproducible evaluation, and human oversight.
- 🔭 Open-source focus: contributing to Utopia, an open-source enterprise world model, with work across retrieval, graph reasoning, agent conversations, and data connectors.
- 🔎 Retrieval & evaluation: hybrid lexical and semantic search, two-stage ranking, held-out evaluation, and preventing data leakage.
- 🤖 Agents & tooling: MCP, structured outputs, tool calling, permission-aware execution, and human approval flows.
- 🦾 Beyond the screen: multimodal sensing, depth cameras, IMUs, voice interaction, and connecting model suggestions to controlled hardware execution.
Systems · RAG · Knowledge graphs · Tool calling · Human-in-the-loop
Evaluation · Recall@K · NDCG · Precision · Latency · Ablation studies
Utopia · Contributor
Selected merged PRs, with the engineering problem behind each change.
View all merged contributions →
Alongside open source, my work spans enterprise knowledge workflows, candidate retrieval and ranking, and multimodal sensing.
Private work is described at a technical level; client identities, private datasets, and internal implementation details are omitted.
I'm interested in collaborating on reliable agent tooling, retrieval and evaluation, knowledge systems, and multimodal applications.
If you're working on something in these areas, I'd be glad to compare notes, review an idea, or contribute a fix.


