Short proof route for a profile view.

Verified LinkedIn Skill Surface

Read-only checked on 2026-06-30. The live All skills view currently surfaces:

1. Python (Programming Language)
2. REST APIs
3. OpenAPI Specification (OAS)
4. GitHub
5. DevOps
6. Platform Architecture
7. Systems Integration
8. Vector Databases
9. Enterprise Resource Planning (ERP)
10. Customer Relationship Management (CRM)

The live Tools & Technologies filter currently surfaces Python, REST APIs, GitHub, Telegram, pytest, OpenAPI, Software as a Service (SaaS), Docker, FastAPI, and PostgreSQL. The next LinkedIn-side edit target is to keep Python first while making FastAPI, GitHub Actions, and RAG more visible without weakening the existing proof routes.

Fast Proof Route

1. Decision-Ready Contact: offer triage, fit read, risky assumptions, smallest responsible first slice, proof path, and next screen.
2. LinkedIn Recruiter Packet: search filters, proof order, shortlist signal, and first-contact prompts.
3. Hiring Decision: 30-second role fit, risk reduction, and first-month ownership.
4. DriveDesk AI Operator proof route: RAG, transcript analysis, approvals, CRM handoff, audit, retries, and adapter boundaries.
5. AI Backend Proof Pack: backend/platform, integrations, Docker/CI, verification, and handoff evidence.

Copy-Ready LinkedIn Update

I refreshed my public proof route for remote backend/platform, AI workflow, integration, and DevOps work.

What to inspect first:
- LinkedIn profile signal: the first Featured card is LinkedIn Proof Signal, and the live Skills surface maps Python, REST APIs, OpenAPI, GitHub, DevOps, Platform Architecture, Systems Integration, Vector Databases, ERP, CRM, FastAPI, Docker, and PostgreSQL to public proof.
- DriveDesk AI Operator proof route: backend-owned RAG/transcript/approval/CRM handoff with audit, retries, adapter boundaries, CI, and runbooks.
- AI Backend Proof Pack: compact technical screen across FastAPI/PostgreSQL, integrations, Docker/CI, verification, and handoff.
- Decision-Ready Contact: the shortest route for a role, workflow, or proof review.

Best first message: send one remote role or one messy workflow, one success condition, and the systems involved. I will reply with fit, risky assumptions, the smallest responsible first slice, the proof path to inspect, and the next screen path.

LinkedIn Activation Pack

Use one of these as the next public post. Do not publish all at once; each one has a different job. Selected next post: Post B - role-fit/search signal. It carries the clearest recruiter search surface without sounding like a generic profile update.

I refreshed my LinkedIn and public proof route for remote backend/platform, AI workflow, integration, and DevOps work.

The first Featured card now points to LinkedIn Proof Signal. The live Skills surface already maps Python, REST APIs, OpenAPI, GitHub, DevOps, Platform Architecture, Systems Integration, Vector Databases, ERP, CRM, FastAPI, Docker, and PostgreSQL to proof instead of leaving them as a keyword list.

Best first proof:
- DriveDesk AI Operator proof route
- AI Backend Proof Pack
- Decision-Ready Contact

Best first message: send one remote role or one messy workflow, one success condition, and the systems involved. I will answer with fit, risky assumptions, the smallest responsible first slice, the proof path to inspect, and the next screen path.

A useful role-fit check for my work is not "can you use AI tools?"

The better check is: can you turn an incomplete business workflow into backend-owned state, integration boundaries, tests, logs, docs, runbooks, and a handoff path an async team can inspect?

That is what my public proof route is organized around:
- AI workflow / RAG / transcript / approval proof
- Python backend and platform proof
- CRM/ERP/API integration proof
- DevOps and operational handoff proof

Best-fit titles: Back End Developer, Python Developer, AI Automation Engineer, Platform Engineer, DevOps Engineer, Integration Engineer, and LLM Workflow / RAG Engineer.

Skill filters that should find me: FastAPI, GitHub Actions, RAG, Python, PostgreSQL, Docker, CRM/ERP/API integration, OpenAPI, Systems Integration, and DevOps.

If the role is remote backend/platform, AI automation, integration, internal tools, or DevOps reliability, send the role, remote setup, first-month ownership surface, and hiring timeline.

The fastest way to evaluate me is to send one workflow, not a broad brief.

Good first context:
- what currently happens
- which systems are involved
- one observable success condition
- what must not break

I will map the risky assumptions, the first responsible slice, and the proof route to inspect.

Best fit: backend-owned AI workflows, CRM/ERP/API adapters, internal operations tools, DevOps recovery paths, and production-style handoff.

Proof route:
	Message on LinkedIn -> Decision-Ready Contact -> LinkedIn Recruiter Packet -> Hiring Decision -> DriveDesk Proof Route -> AI Backend Proof Pack.

Start here: https://alexgerlitz.github.io/AlexGerlitz/linkedin-proof-signal.html

Thanks. Send the role or workflow, one success condition, the systems involved, and what must not break. I will reply with fit, risks, the smallest responsible first slice, and the proof path to inspect.