Public evidence pack

AI workflow and backend automation evidence in one route.

Use this page to evaluate fit for Python/backend automation, AI workflow, CRM/ERP/API integration, Docker/CI handoff, internal tools, and technical review. It points to the strongest public evidence first.

The core signal: I do not just connect workflow nodes. I move state, RAG, approvals, audit, retries, idempotency, quality checks, and integration contracts into backend-owned systems, then leave CI, docs, runbooks, and reviewable evidence.

Message on LinkedIn DriveDesk AI Operator route Hiring signal brief Business scenario replay First slice playbook Operational readiness Verification pack Decision-ready contact PDF resume
FastAPI/PostgreSQL RAG and transcripts CRM/ERP adapters Telegram approvals Docker and CI Audit/retries/idempotency Runbooks

AI Workflow

Documents, transcripts, call audio, and CRM leads become RAG-backed analysis, scoring, approval drafts, and CRM-safe handoff.

Backend / Internal Tools

FastAPI/PostgreSQL systems with records, roles, workflow state, OpenAPI, audit/outbox, tests, Docker, CI, and docs.

Integration Reliability

CRM/ERP/API/1C/banking boundaries with mapping, validation, retries, idempotency keys, dead-letter states, and rollout notes.

Docker/CI Handoff Evidence

Self-hosting, Docker Compose, health checks, release gates, logs, smoke checks, recovery paths, and operator runbooks.

Role Shortlist

Python Backend / Internal Tools Engineer

Best match when the work owns APIs, data models, workflow state, internal tools, tenants, records, roles, tests, and handoff docs.

First result: one backend slice with contract, tests, docs, and deployment path.

AI Automation / RAG Engineer

Best match when documents, transcripts, tickets, or leads need retrieval, analysis JSON, scoring, citations, approvals, and quality checks.

First result: one inspectable RAG or transcript workflow with eval and approval boundary.

Integration Engineer

Best match when CRM, ERP, 1C, banking, accounting, webhook, spreadsheet, or custom database boundaries need reliable adapters.

First result: source/target contract, mapping, validation, idempotency, retry state, and rollout notes.

Reliability / Docker Handoff

Best match when Docker, CI, release gates, health checks, logs, backup/recovery, smoke checks, or runbooks need ownership.

First result: one hardened deployment or recovery path with visible verification.

Internal Tools Engineer

Best match when operators need admin surfaces, queues, approvals, audit trail, notifications, validation, and repeatable workflows.

First result: one working operator flow with state, permissions, and support handoff.

Technical Review

Best match when a team needs a repo, workflow, integration, deployment, or AI claim reviewed before committing more budget.

First result: claim-to-evidence map, risks, smallest responsible slice, and verification route.

Offer-Fit Matrix

If the role/request is I can own first Work sample to open
Backend automation and integration role Map one business workflow, model records and state, expose API/admin behavior, add tests, docs, and a deploy path. DriveDesk Core and DriveDesk AI Operator route.
AI automation / RAG role Build one retrieval or transcript workflow with citations, structured output, quality eval, approval boundary, and logs. AI Ops Workflow Kit, AI Ops Hiring Signal Brief, AI Ops First Slice Playbook, and AI Ops public-safe approval evidence.
CRM/ERP/API integration role Define source/target contracts, map fields, validate input, add retries/idempotency, dry-run boundary, and rollout notes. DriveDesk AI Operator and Operational Readiness.
Docker/CI recovery role Add or harden Docker/CI, health checks, logs, smoke checks, backup/recovery notes, and operator runbook. DeployMate and Verification Pack.

Review Order

  1. DriveDesk AI Operator route: the shortest route through DriveDesk AI Operator, current evidence repos, contact path, and role-fit links.
  2. AI Ops Hiring Signal Brief: shortlist-focused evidence combining business replay, RAG quality, approval, CRM-safe handoff, retry/dead-letter, idempotency, and dry-run boundaries.
  3. Operational Readiness: deeper technical evidence for architecture, state boundaries, reliability, privacy, integration contracts, CI, runbooks, and handoff quality.
  4. AI Ops Business Scenario Replay: business input, backend route, RAG quality, approval, queued CRM handoff, and dry-run Bitrix request evidence.
  5. AI Ops First Slice Playbook: concrete first slices for RAG/transcript, CRM handoff, human approval, and reliability routes.
  6. AI Ops public-safe approval evidence: redacted owner-run approval evidence with CRM-safe outbox handoff and Bitrix dry-run boundary.
  7. Live PostgreSQL/pgvector evidence: runtime storage, RAG quality eval, and restart persistence evidence.
  8. Verification Pack: current CI, live smoke, public demos, docs, runbooks, evidence freshness, and reviewer links.
  9. Decision-Ready Contact: copy-ready first-contact route with fit read, risk check, smallest responsible first slice, review path, and next step.
  10. PDF Resume: compact resume for application upload or recruiter handoff after first-contact context is clear.

Strong Match

  • Remote backend automation and integration role with Python, FastAPI, PostgreSQL, Docker, CI, integrations, or internal tools.
  • AI automation role where RAG, transcripts, approvals, CRM/ERP/API handoff, and quality checks must be inspectable.
  • Fixed-scope workflow project where one messy business process needs a working slice with tests, logs, docs, and handoff.

Useful First Context

  • One role, workflow, project, or technical problem.
  • Relevant systems can include API, CRM, ERP, documents, transcripts, database, hosting, or existing code.
  • First success condition, timeline, constraints, and what must not break.
  • Expected output: first slice, technical review, integration plan, or production hardening path.

Why This Is Different

AI tooling accelerates discovery, implementation, debugging, docs, and review; the responsibility stays with me: architecture, state, integration boundaries, tests, logs, deployment, docs, and shipped quality.

The useful evidence is that public code, docs, CI, live smoke, runtime evidence, privacy boundaries, and handoff routes are visible enough for a recruiter, hiring manager, or technical reviewer to decide what to inspect next.