Skill-to-evidence map

Skills mapped to public evidence.

This page turns the profile skills into reviewable evidence: AI automation, Python/FastAPI backends, PostgreSQL, RAG workflows, n8n/Telegram orchestration, CRM/ERP integrations, Docker/CI handoff, runbooks, and validation boundaries.

Fast reviewer path: pick the skill, open the evidence link, then inspect code, CI, docs, demos, smoke checks, or runtime evidence.

OpsDesk Reviewer Replay DriveDesk AI Operator route AI automation role fit Role fit GitHub-readable matrix First slice playbook AI Ops Workflow Kit DriveDesk Core
AI Automation Python FastAPI PostgreSQL RAG n8n Telegram CRM/ERP Docker Docker/CI handoff

AI Automation / RAG

Document/transcript/lead intake, privacy redaction before RAG/approval/CRM handoff, RAG retrieval with deterministic quality eval, transcript analysis, lead scoring, approval queues, Telegram callback approval, CRM-safe handoff, outbox drain, and n8n integration boundaries.

Open AI Ops role requirements map or privacy boundary

Backend / Internal Tools

OpsDesk Reviewer Replay proves the first-role slice: FastAPI, SQLAlchemy, PostgreSQL migration, ticket intake, operator queue, status transitions, idempotent outbox, SLA worker, SQL metrics, pytest, Docker Compose, GitHub Actions, smoke check, and privacy audit.

Open OpsDesk Reviewer Replay or DriveDesk Core review

CRM / ERP Integration

Explicit adapter contracts, field mapping, validation, retries, idempotency, audit logs, dry-run CRM handoff, rollout notes, and recovery thinking.

Open fixed-scope offers

Docker/CI Handoff

Docker runtime work, CI/CD, release gates, health checks, logs, deployment control panel evidence, runbooks, and recovery paths.

Open DeployMate evidence snapshot

Remote Operations

Autoschool54 backend/application-support work since March 2024: support workflows, docs, backups, troubleshooting, deployment/recovery thinking, and AI-native delivery discipline.

Open role / project brief

Best Skills To Evaluate

  • AI Automation, RAG, LLM Workflows, Vector Databases.
  • Python, FastAPI, PostgreSQL, OpenAPI, pytest.
  • Systems Integration, API Integration, CRM, ERP, 1C-style boundaries.
  • Docker, GitHub Actions, Docker/CI handoff, health checks, logs, runbooks.
  • Workflow Automation, Internal Tools, Internal Tools Engineering, Technical Documentation.

Review Order

  1. Open OpsDesk Reviewer Replay for first-role backend/API code proof.
  2. Open DriveDesk Core for backend automation and integration depth.
  3. Open AI Ops First Slice Playbook and AI Ops Workflow Kit for AI workflow/RAG/approval evidence.
  4. Open DeployMate for Docker/CI handoff evidence.
  5. Open the GitHub-readable matrix for the full skill map.

AI-Native Delivery Discipline

AI tooling accelerates discovery, decomposition, implementation options, debugging, docs, tests, and review. The engineering responsibility stays with me: architecture, state, integration boundaries, privacy, verification, deployment, logs, runbooks, and shipped quality.

Fast Problem Decomposition

Unclear business requests become workflow maps, risky assumptions, first slices, and verification routes.

Decision-ready contact

Verification Habit

Outputs are checked through code inspection, tests, smoke routes, CI, live evidence, docs, and runbooks.

Verification pack

Full-Cycle Delivery

Problem shape becomes backend slice, integration boundary, deployment path, operator handoff, and next-phase plan.

First month plan