Our Team
The people behind Date Palm Media’s products — from MyPaintBuckets to RotoEdge Pro. Engagements today are architected and led by Joseph directly; the senior engineers below built these products alongside him and come onto projects as delivery scales.
Joseph brings 25+ years of engineering, product leadership, and systems architecture to every engagement. He built and ships MyPaintBuckets — a production SaaS used by painting businesses to manage crews, jobs, and operations — and today he architects and leads every Date Palm Media engagement directly, working with a production fleet of AI coding agents he built, behind human approval gates. Every engagement starts the same way: Joseph learns how your business actually works before a line of code is written.
Mark Dearman
Senior Engineer · DevOps
Mark's engineering at Date Palm Media ran through Speak Meetings and MyPaintBuckets — two products with very different demands that both had him owning backend systems end to end. He has direct experience with NLP pipelines and agentic AI integrations from the Speak era, and he built the Jenkins and Kubernetes CI/CD infrastructure Date Palm Media products deploy on. A strong backend developer who ships across the full stack when the job calls for it.
Katherine Dattilo
Graphic Design & Brand Identity
Katherine is a fine artist and professional graphic designer who has created the logo and visual identity for Date Palm Media projects including MyPaintBuckets and the current company brand. She brings an artist's eye to how the work is presented, from brand systems to design review.
Muhammad Hidayatulloh
Senior Engineer
Hidayatulloh is a senior engineer with deep Django, React, and Angular experience, backed by real strength in backend architecture and API design — and a particular reputation for tracking down and eliminating the bugs other developers can't find. He has shipped production work on Date Palm Media products.
The Full Team
The human team works alongside these tools in production — not as a novelty, but as a deliberate part of how we build. Each model is matched to what it actually does well. Every engagement has the infrastructure to keep that work safe and auditable.
Anthropic Claude
Complex Reasoning & Agentic WorkflowsClaude excels at long-context reasoning, multi-step task execution, and following nuanced instructions reliably. We use it where the work requires sustained coherence across a complex chain — architecture decisions, agentic development pipelines, and production integrations that need to behave predictably at every step.
- Long-context reasoning across large codebases
- Multi-step agentic task execution
- Reliable instruction-following in production pipelines
- Code generation, review, and refactoring at scale
OpenAI
Embeddings, Search & Structured OutputOpenAI's models are a strong fit for embedding-heavy workloads, semantic search, and structured output pipelines. We have production experience with the OpenAI API going back before the current LLM wave — including early NLP systems built when GPT was still a research model.
- Embedding generation and semantic search pipelines
- Structured output and function calling
- GPT-4o and o-series reasoning tasks
- Legacy and modern API compatibility
Local & Fine-Tuned Models
Privacy-First & Domain-Specific InferenceOpen-weight models deployed on local infrastructure are the right call for privacy-sensitive workloads, domain-specific tasks, or cost-controlled inference at scale. We deploy, serve, and fine-tune these models — your data stays on your infrastructure.
- Local model deployment and inference serving
- Domain-specific fine-tuning on proprietary data
- Privacy-first workloads with no third-party data transfer
- Cost-controlled inference at volume
This is the team you’d be working with.
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