Custom integrations and API work
Purpose-built APIs, webhooks, authentication flows, and system connections when native connectors stop short.
Custom integrations · data workflows · business software
Engineering for systems that need to work together.
I design and deliver custom integrations, data workflows, migrations, and software components when off-the-shelf tools are no longer enough. Work can be direct with your team or alongside your agency or consulting partner.
Capabilities
Custom software for the gaps between standard tools.
The work usually sits between platforms: connections, business rules, data quality, and failure handling that standard configuration cannot carry cleanly.
Data migrations and unreliable records
Data mapping, normalization, deduplication, reconciliation, and controlled migration without wishful thinking about source quality.
Document and email automation
Structured extraction and classification, with AI where it is useful and confidence thresholds, human review, and audit context where judgment matters.
Custom logic and production hardening
Custom logic, retries, exception handling, idempotency, logging, and tests for workflows that need to survive real operating conditions.
Ways to work together
Directly with your team—or alongside the partner you already trust.
Some engagements begin with a business that needs a system built or connected. Others begin with an agency or consultant whose delivery needs deeper engineering. In either case, the scope is bounded and the finish line is written down.
Direct engagements
I can work directly with the business owner, operator, or technical lead responsible for the outcome and the systems involved.
Agency collaboration
When an agency or consulting partner is leading the work, I can contribute behind the scenes or operate white-label within the agreed communication model.
A testable scope
Projects are priced against written deliverables and objective acceptance criteria—not an open-ended backlog.
A clean handoff
Testing evidence, implementation notes, operating guidance, and known constraints arrive with the working system. New functionality is new scope.
How an engagement works
A finish line both sides can recognize.
Understand the outcome, define done, build carefully, and transfer ownership with evidence.
Fit conversation
Confirm the business outcome, stakeholders, constraints, and whether the work belongs here.
Technical discovery
Inspect systems, data, access, edge cases, and the current toolchain's failure point.
Scope + acceptance tests
Define deliverables, boundaries, assumptions, responsibilities, price, and observable completion criteria.
Implementation + testing
Build the difficult layer, test happy paths and failure paths, and document important decisions.
Documented handoff
Transfer code, configuration, test evidence, operating notes, and the agreed walkthrough.
14-day defect warranty
Correct defects against the accepted scope during the short warranty window. New requests remain new scope.
Reference implementations
What production-minded delivery looks like.
Synthetic examples showing how the work is structured. These are reference implementations—not customer case studies or performance claims.
Reference implementation 01
Lead Intake Recovery
A controlled intake layer for organizations receiving records from multiple forms, inboxes, and uneven sources.
- Sources Forms · inboxes · partner feeds
- Normalize Schema · phones · addresses · consent
- Resolve Match · merge · idempotency keys
- Deliver CRM upsert · owner routing · audit log
Production controls
- Canonical field map and source precedence
- Deterministic match rules before fuzzy review
- Idempotent writes and replay-safe processing
- Dead-letter queue with reason codes
Exception route
Low-confidence matches → designated review queue
Low-confidence matches → designated review queue
Reference implementation 02
AI Document Triage
A reviewable pipeline that turns inbound messages and attachments into structured CRM-ready records.
- Capture Email · PDF · image attachment
- Extract Text · fields · provenance
- Evaluate Class · confidence · policy checks
- Approve + send Human gate · CRM · audit record
Production controls
- Allowlisted file types and size limits
- Field-level source citations and confidence
- Thresholds tuned by document class
- Immutable decision and approval history
Exception route
Low confidence or policy conflict → human approval
Low confidence or policy conflict → human approval
All systems, records, and workflow details above are synthetic. No customer identity, testimonial, outcome, or revenue impact is implied.
Fit and non-fit
Clear boundaries make better projects.
The best engagements have a valuable outcome, an engineering-shaped gap, accessible systems, and an objective definition of done.
Good fit
- A business or delivery partner has identified a valuable outcome
- The project requires real engineering beyond standard configuration
- The relevant systems and data are accessible
- Completion can be defined objectively
- A designated team will own routine operation after handoff
Not a fit
- Funnel building, campaign management, or copywriting
- Routine platform administration
- Open-ended maintenance or unlimited revisions
- On-call support
- Work requiring unsupported marketing or revenue claims
Senior engineering, kept deliberately simple
Production judgment without a consulting pyramid.
Led by a senior engineer with three decades of software development, architecture, and technical leadership experience. The work combines pragmatic implementation with the reliability, security, and documentation expected of production systems.
Engagements are selected for clear boundaries, practical access, and a result the receiving team can genuinely own.
Start with the work
Tell me what needs to work—and what is getting in the way.
Describe the outcome, the systems involved, and where the current approach stops being reliable or practical.