Our Team
The people behind every Date Palm Media product — from MyPaintBuckets to RotoEdge Pro. A small team with a long track record of shipping software that runs businesses.
Joseph Dattilo
Founder & CEO · UI Architecture
Joseph founded Date Palm Media after 25+ years of engineering, product leadership, and systems architecture. He built and ships MyPaintBuckets — a production SaaS used by painting businesses to manage crews, jobs, and operations — which has run in production for years and continues to serve real clients today. His current focus is AI-native development and agentic engineering: building systems where AI acts as a real contributor, not just an autocomplete tool. Every engagement starts the same way: Joseph learns how your business actually works before a line of code is written.
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 contributes to visual styling and design reviews across active projects, bringing an artist's eye to how the work is presented.
Muhammad Hidayatulloh
Senior Engineer
Hidayatulloh has been with Date Palm Media since its founding and has worked on every product the company has shipped. His strengths are Django, React, and Angular — and he has a particular reputation for tracking down and eliminating bugs that other developers can't find. If it was built at Date Palm Media, he has had his hands on it.
Mark Dearman
Senior Engineer · DevOps
Mark has been engineering at Date Palm Media through Speak Meetings and MyPaintBuckets — two products with very different demands that both required him to own backend systems end to end. He has direct experience with NLP pipelines and agentic AI integrations from the Speak era, and carries that into modern LLM work. He also runs our build and deployment infrastructure: Jenkins, Kubernetes, and CI/CD at every layer. A strong backend developer who ships across the full stack when the job calls for it.
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
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Tell us what you're trying to build. We'll tell you how we'd approach it.
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