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latczar/README.md

Lat Caesar

Engineer with 9.5+ years across full-stack automation, APIs, integrations, CI/CD and release quality. I take ownership of production systems, make them stable and dependable, then build the tools on top that save teams real time.

LinkedIn · latczar@gmail.com

How I work

  • I own work end to end: design, build, test, deploy, document and support.
  • Stability comes first. Security, monitoring, backups and clean releases come before new features.
  • Every project starts with a slow or risky manual process and is judged by the time and mistakes it removes.
  • I use AI where it earns its place. The model handles the fuzzy part, plain code enforces the rules, and a person approves anything that matters.

Selected projects

Most of my production work is under client NDA. These are public rebuilds of the same patterns, using made-up data.


Trade Reorder Portal

Live demo · Source

A lightweight B2B shop for a wholesale distributor. Customers browse by category, see their own prices on product pages, and reorder in a few clicks with their own contract prices, live stock, delivery cut-offs and credit checks. Orders that still arrive by email are read by Claude, checked against the catalogue and stock by plain code, and approved by a person instead of being keyed in by hand. Orders sync to a mock ERP with retries, and an insight page tracks the share of orders placed online against a 90% target.

JavaScript, Node, Claude API, structured outputs, unit tests


Doctor Outreach

Live demo · Source

Turns a research list full of duplicates and guessed addresses into personalised emails that a named person approves before anything is sent. Rules decide who is contacted, the model drafts, and every decision is logged.

Python, FastAPI, SQLite, Vercel


AI Service Desk

Source

Support tickets from a web form, API or Telegram are queued with retries and a dead-letter queue, answered from a knowledge base, and passed to a person when the answer is uncertain or the request is sensitive. A live dashboard shows service health and each ticket's progress.

Python, FastAPI, RabbitMQ, PostgreSQL, pgvector, MCP, GitHub Actions


Test Generation Pipeline

Source

Picks up manual test cases marked ready, generates Playwright tests, and accepts one only after it passes six automated checks and runs for real. A person signs it off before it joins the suite.

TypeScript, Playwright, n8n, GitHub Actions


Experience

Area
Build and integrate Full-stack web apps, REST APIs, webhooks, databases, business-system and third-party integrations
Run in production Troubleshooting, monitoring, retries and failure handling, root-cause analysis
Release safely CI/CD, test automation frameworks, release validation, regression and UAT, change control
Automate LLM tools, retrieval, MCP, n8n workflows, human approval steps, evaluations
Lead Automation strategy, framework architecture, mentoring engineers, documentation for technical and non-technical readers

Web platforms and e-commerce

I'm comfortable picking up an existing production codebase, whatever it's built on, and making it secure, stable and easy to release. I'm currently expanding into e-commerce, online ordering and CMS platforms, building on:

  • Full-stack web: React front ends, Python and Node back ends, REST APIs, deployments on Vercel and Docker
  • Sales and ordering workflows: test automation for a sales platform and end-to-end customer journeys with Playwright and Selenium
  • Business-system integrations: Microsoft 365 / SharePoint automation, databases, queues and third-party APIs
  • Running live sites: release pipelines, regression suites, monitoring and runbooks

Tools

Python · TypeScript · JavaScript · Java · FastAPI · React · PostgreSQL · RabbitMQ · Docker · n8n · Playwright · Selenium · GitHub Actions · Azure DevOps · Jenkins · Vercel

Certifications

ISTQB Advanced Level Test Analyst (CTAL-TA) · ISTQB Foundation Level Agile Tester (CTFL-AT) · ISTQB Foundation Level (CTFL)

Pinned Loading

  1. agentic-qa-tcm agentic-qa-tcm Public

    AI-assisted Playwright test generation using MCP, Page Objects, fixtures, and framework context.

    TypeScript

  2. agentic-qa-sd agentic-qa-sd Public

    An AI service desk that runs on a laptop. Tickets from a web form or Telegram are classified, answered from a knowledge base (RAG over pgvector) by a local model, and sent to a person to approve wh…

    Python

  3. doctor-outreach-demo doctor-outreach-demo Public

    Prototype: AI-assisted doctor outreach. Rules decide, the system writes, a person approves, where every send is logged.

    Python

  4. trade-reorder-portal trade-reorder-portal Public

    B2B reorder portal for a wholesale distributor, with AI email-to-order intake checked by business rules and approved by a person.

    JavaScript