Best-fit roles
Junior Python Backend, Back End Developer, QA/API Python, Integration/API/CRM, Support Engineer with Python, or Internal Tools when the first task is backend/API-heavy.
One-minute hiring decision route
Screen me for one useful backend/API slice first.
I am strongest for remote-capable first-role Python/backend automation, internal tools, QA/API Python, support-with-Python, API/CRM integration, and backend-owned AI workflow only after backend fit is clear.
The fastest decision path is GitHub Recruiter Handoff -> OpsDesk Reviewer Replay -> DriveDesk Business Intake API Handoff -> LinkedIn Recruiter Packet -> First Backend Role Fit -> PDF resume. AI backend evidence, Docker/CI, and enterprise routes are deeper proof after the first-role fit is clear.
First code proof
OpsDesk Reviewer Replay: synthetic webhook intake -> duplicate idempotency -> operator queue -> status handoff -> outbox dispatch -> metrics -> OpenAPI checks, with CI and privacy audit. Autoschool stays the real-work workflow context.
Hiring signal
I can start with one reviewed slice: input, validation, state, output, tests or smoke checks, docs, and handoff notes. AI and Docker/CI support the claim; they are not the first-title claim.
First-Role Decision Matrix
- Apply now: remote-capable Python/backend, QA/API Python, integration/API/CRM, support-with-Python, or internal-tools role with one reviewable backend/API slice.
- Adapt first: broad AI automation or Docker/CI role where the real first task can be reframed as backend state, integration boundary, QA/API check, or handoff docs.
- Deeper proof after fit: DriveDesk AI Operator, AI Backend Review Pack, Operational Readiness, DeployMate, and broader Docker/CI evidence.
- No fit right now: platform-ownership-first work, onsite-only roles, pure prompt/content tasks, or work where success cannot be tested.
30-Second Screening Answer
- I fit remote-capable first-role Python/backend automation, internal tools, API/CRM integration, QA/API Python, support-with-Python, or backend-owned AI workflow after backend fit.
- Open first: GitHub Recruiter Handoff -> OpsDesk Reviewer Replay -> DriveDesk Business Intake API Handoff -> LinkedIn Recruiter Packet -> First Backend Role Fit -> PDF Resume. Use deeper AI backend evidence after role fit is clear.
- Expected first result: one reviewed backend/API slice with input, validation, database state, output, tests or smoke checks, docs, and handoff route.
- Message trigger: one role or workflow, one success condition, systems involved, ownership boundary, and timeline.
Shortlist Scorecard
- Business context: real operational infrastructure support since March 2024, not only practice projects.
- Engineering surface: backend automation and integration implementation, AI workflow engineering, CRM/ERP/API integration, Docker/CI recovery thinking, and public verification discipline.
- Remote execution: English-first docs, async review paths, compact reviewer paths, CI, smoke checks, runbooks, and handoff quality.
- Hiring reason: I can take one messy workflow, define the first responsible slice, ship it, verify it, document it, and leave an operator path.
Where I Fit In A Team
I fit best as the person who owns the first working Python/backend slice around operations, integrations, AI workflow, internal tools, QA/API verification, or reliability handoff. The strongest setup is a product, operations, or support team with real workflows and enough context to ship something measurable quickly.
Fast fit checklist
Message me when the work is remote-capable or async-reviewed and has one clear outcome: automate a workflow, connect systems, build a backend/internal tool, support Docker/CI handoff, or prove a DriveDesk AI Operator-style slice.
- Best match: backend-owned AI workflow, CRM/ERP/API integration, RAG/LLM workflow, internal operations tool, Docker/CI handoff support, health checks, or recovery documentation.
- Useful first target: one working slice with tests, logs, docs, demo path, and a handoff route.
- Not my current target: onsite-only roles, pure prompt/content tasks, or work where success cannot be described.
What I can own in the first month
- Map the workflow, records, integrations, risks, and approval points.
- Ship a small working slice with backend-owned state, logs, tests, docs, and a smoke path.
- Harden the integration boundary: retries, idempotency, dead-letter path, audit trail, and recovery notes.
- Leave a demo, runbook, and next-phase plan instead of a black box.
Open the first month plan for the detailed route.
What to inspect
- DriveDesk Core: FastAPI/PostgreSQL backend foundation.
- AI Ops Workflow Kit: AI/RAG workflow backend evidence.
- Public-safe approval evidence: redacted Telegram approval and CRM-safe handoff boundary.
- Verification pack: CI, smoke, docs, demos, and evidence links.
Best first message
Send one role, workflow, or project; one success condition; the systems involved; and the timeline. I can usually turn that into a first technical slice, review path, risk list, and next-step plan quickly.
Open Decision-Ready Contact, open start conversation, or use the inbound brief.