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Typical work spans web apps and internal tools (TypeScript, APIs, Astro or similar), firmware and bring-up on embedded targets, and CAD or mechanical design when the problem crosses hardware and software. If it is not a fit, I will say so early.

We start with a short discovery call and a written scope: milestones, risks, and what success looks like. Then we iterate in small loops with demos, feedback, and adjustments so surprises stay small and decisions stay informed.

Most work is remote and async-friendly, with scheduled checkpoints. On-site or lab time can make sense for hardware bring-up, fixtures, or tight integration weeks. We can plan that when it matters.

By default you own deliverables paid for under the agreement. Details belong in the contract (NDA, license, and handoff). I am happy to align with your legal or procurement process.

You work with me. For larger efforts I may bring in trusted collaborators with your approval, but I stay accountable for integration and quality.

Use the contact form on this site or reach out on LinkedIn. A short description of the problem, timeline, and constraints is enough to start a conversation.

We design for deployable artifacts, environments you can reproduce, and observability you can trust - without pretending every stack needs Kubernetes on day one. The goal is predictable releases and clear rollback, sized to your constraints.

Most engagements target common hyperscaler primitives (object storage, managed DBs, serverless or container hosts) and stay region-aware for data residency when it matters. If you have a mandated cloud or landing zone, we align CI/CD and IAM to that reality.

Separate dev/stage/prod, least-privilege credentials, and no secrets committed to git. Details are agreed per client - sometimes a managed vault, sometimes your existing enterprise pattern.

Access to repos or a sandbox, a short written scope, current pain points, and who owns approvals for infra changes. If compliance docs matter (SOC2, HIPAA-ish controls), say so early so the plan matches your review cycle.

Depends on scope and access, but the aim is a thin vertical slice early: one path through the app, one deployment pipeline, one place we can observe failures. Bigger design wins come after something real is running.

Consulting focuses on decisions, architecture, and unblocking your team — scope documents, reviews, and targeted spikes. Full builds add delivery ownership for defined artifacts. Many clients start with consulting, then expand once the plan is clear.

All three appear depending on clarity and timeline. Fixed scope works when outcomes are well defined; retainers suit ongoing advisory; hourly fits short diagnostics. Billing rhythm is agreed before work starts — no surprise T&M without approval.

Yes. Pairing on PRs, architecture reviews, and lab bring-up is common. I stay accountable for the advice and integration quality — not for managing your org chart.

When it supports a product or lab goal: custom enclosures, sensor rigs, bench setups, and reproducible deploy stacks. Pure consumer PC builds without an engineering outcome are usually a pass — say what you are trying to learn or ship.

A short problem statement, constraints (timeline, compliance, stack), who approves changes, and any existing docs or repos. Photos or logs beat vague "make it better" every time.

Use the form below. With your consent, anonymized answers may be added here after review — same workflow used for member questions elsewhere on the site.

The showcase below is a browsable library of interactive previews and download metadata. Custom work - new parts, assemblies, and drawing packages - is scoped through CAD & mechanical design or contact with your part list.

Typical exports include STEP, STL, and vendor-native formats when needed. Simulation handoffs may include simplified solids for CFD or FEA. Format choice follows your toolchain and tolerance stack.

Yes - often paired with 3D scanning for legacy parts. Scan meshes become reference geometry; critical features are rebuilt parametrically so revisions stay editable.

Member tiers can unlock library access and member pricing on related services. See plans & pricing for what each tier includes today.

Deliverables are named and versioned so manufacturing, simulation, and documentation stay aligned. Major revisions get a short changelog; breaking geometry changes are called out before release.

FDM and resin workflows for prototypes, fixtures, and short-run parts - material choice follows temperature, load, and finish requirements. We will say when machining or molding is the better economics.

FDM tolerances depend on orientation, layer height, and feature size; resin is tighter for fine detail. Critical interfaces are called out in the quote with expected post-processing (reaming, tapping, sanding).

Yes. Native CAD (STEP/STL) is preferred. Scan-only inputs may need cleanup or parametric rebuild via 3D scanning before printing reliable mating features.

Basic cleanup, hole reaming, and insert installation can be included in scope. Multi-part assemblies ship with a BOM note and torque/spec callouts when fasteners matter.

Send format, material intent, quantity, and photos or drawings through the contact form. Include load, temperature, and cosmetic requirements - they change material and orientation choices.

Structured-light and photogrammetry depending on part size, surface finish, and accuracy targets. Shiny or deep-pocket parts may need spray, fixtures, or multi-pass coverage - we plan that up front.

Accuracy is quoted per job: feature size, envelope, and how the mesh will be used (reference vs. inspection). Share approximate dimensions and photos early so we do not over-promise on a phone snapshot.

You can receive cleaned meshes (STL/OBJ) and/or parametric CAD rebuilt on critical datums. Pure mesh deliverables are faster; full parametric rebuild is scoped separately.

Philadelphia-area on-site capture is available by appointment. Shipped parts and fixture-based studio scans are common for smaller teams without travel budget.

Scan → CAD → 3D printing or analysis is a frequent pipeline. We align units, datums, and export settings so the next step does not restart from a broken mesh.