Alex Gerlitz
Python Backend / API Automation focused on FastAPI/PostgreSQL workflow slices, internal tools, API/CRM integrations, and AI-assisted backend delivery for real business processes.
I turn messy workflows into FastAPI/PostgreSQL/Telegram/admin slices with tests or smoke evidence, docs, and handoff notes. AI speeds up execution; architecture, privacy, verification, logs, docs, and shipped quality stay my responsibility.
Target role: remote-capable Junior Python Backend / API Automation. Adjacent lanes: QA/API Python, CRM/API Integration, and Internal Tools when the work is backend/API-heavy.
First proof: Autoschool Intake/Admin shows Telegram intake -> backend validation -> database record -> admin queue -> operator status with synthetic public evidence only.
First assignment: one FastAPI endpoint, data model, admin queue step, API/CRM mapping, or pytest/API smoke check shipped as a reviewed slice with evidence and handoff.
Risk reduced: unclear workflow state, brittle automation glue, missing logs, weak handoff, and unverified AI output.
Public work samples show a business workflow from request intake to backend validation, stored state, admin review, and operator status using synthetic public evidence. Private production data is replaced with synthetic public evidence.
Current Experience
Python Backend & Application Support Engineer - Autoschool54 / DriveDesk backend/internal-tools work, remote, March 2024 - Present.
- Since March 2024, support live admin/operator workflows across internal tools, Telegram intake, API/CRM-style handoff, SQL/data checks, documents, schedules, payments, accounts, access, and troubleshooting.
- Translate unclear business requests into small technical actions, repeatable workflows, documentation, privacy boundaries, and recovery paths.
- Use AI tooling for domain research, implementation options, debugging, tests, docs, and review while verifying outputs through inspection, tests or smoke checks, logs, comparison, and written notes.
Public Work Samples
Autoschool Intake/Admin work sample
Synthetic public evidence of Telegram request intake -> backend validation -> database record -> admin queue -> operator status workflow.
DriveDesk AI Operator
Backend-owned AI workflow: document/transcript/CRM lead intake, RAG, call-analysis JSON, Telegram approval, audit, retries, and CRM handoff.
AI Ops Workflow Kit
Live FastAPI/PostgreSQL/pgvector backend with privacy redaction, approvals, idempotent outbox, transcript analysis, and dry-run CRM handoff.
DriveDesk Core
FastAPI/PostgreSQL backend foundation: tenants, RBAC, audit/outbox, workers, adapter boundaries, OpenAPI, CI, docs.
Target Work
- Backend/API automation: APIs, data models, admin queues, validation, docs.
- QA/API support lane: pytest, REST/OpenAPI checks, SQL/data checks, smoke routes.
- Integrations: Telegram, CRM/ERP/API adapters, workflow integration, webhooks, retries, audit logs.
- AI workflow automation: RAG/transcript/ticket/lead flows with human approval.
- Reliability handoff: Docker Compose, GitHub Actions, health checks, logs, runbooks, recovery notes, and English technical documentation.
Core Skills
- Python, FastAPI, PostgreSQL, Alembic, OpenAPI, pytest, REST APIs.
- QA/API Python support, API testing, SQL/data checks, repeatable verification.
- CRM/ERP/API integrations, workflow integration, webhooks, adapter contracts.
- RAG workflow evidence, PostgreSQL/pgvector, document/transcript processing, approval flows.
- Docker Compose, GitHub Actions, smoke checks, logs, runbooks, recovery notes.
Education
Novosibirsk State Technical University (NSTU) - Applied Informatics, 2025 - Present.