Едуард

Eduard Chirva
Middle Python Developer
Backend & automation · Python · async services, REST APIs, LLM integration

[открыть контакты](см. выше в блоке «контактная информация») · [открыть контакты](см. выше в блоке «контактная информация») · t.me/qvartzgolden20 · github.com/qvartzggolden01 · [открыть контакты](см. выше в блоке «контактная информация»)
едуард-чирва 517018411 · Ukraine · Remote · Ukrainian (native) · Russian (fluent) · English B1

SUMMARY

Python developer with about two years building production backend and automation systems hands-on: async
services, REST APIs, data pipelines, LLM integrations, and computer vision. I take a problem through design,
implementation, deployment, and production support end to end. I write code with AI-assisted tooling to move
fast, stay able to read and explain what I ship, and keep deepening my core Python fundamentals as I go.
I come into development from IT: about six years growing from system administrator to Head of IT at УВК Нексус
(team of up to 30, a 200-person company, infrastructure built from scratch). I deliberately moved into hands-on
development, and the projects below are how I re-skilled. I know how systems run in production — deployment,
networking, cost — not just the code.
Open to Python backend / automation roles, fully remote, any timezone.

EXPERIENCE

Python Developer — internal tools & automation
УВК Нексус 200 staff) · 2024 2026 · Ukraine · Remote

Moved from IT management into hands-on development: built internal Python tools, LLM integrations, and
computer-vision automation, delivered end to end and used in daily operations.
Owned the lead-processing platform and automation services listed under Projects — from design through
deployment and production support.

System Administrator → Senior System Administrator → Project Manager → Head of IT
УВК Нексус · 2020 2024 · Ukraine

Joined as the company's sole system administrator and built the IT function from scratch as the business
scaled from a small office to a 200-person group.
Grew through senior sysadmin and project manager into Head of IT: ran all core infrastructure (local networks,
servers, RDP, VPN, SIP telephony, surveillance, end-user support), introduced ITIL-style processes, and led and
coordinated a team of up to 30.
Owned budget-to-productivity optimisation: kept infrastructure efficient while scaling, then cut RDP and
maintenance spend during a later cost-optimisation phase.

PROJECTS

BACKEND & AUTOMATION

Lead-Processing & Automation Platform Commercial · delivered

Replaced a manual spreadsheet-and-chat workflow with a single platform. Node.js + Python talking over a simple
JSON-lines protocol on stdin/stdout, a mobile-first multi-role UI, and a messaging-integration layer with rate-limit
and reconnection handling.
150+ active users, 130K+ records in daily production use; runs on 2 CPU / 4 GB RAM
Stack: Node.js, Express, Python, PostgreSQL, Docker, supervisord, WebSocket, OpenAI API

Transactions & Marketplace Platform Commercial · delivered

Multi-component transactions platform: an escrow-style hold-and-release flow with an internal balance ledger,
deposit handling and manual payout approval, plus a companion Mini App for verification checks. Added anti-
abuse and transaction-integrity safeguards.
Stack: Python, JavaScript, PostgreSQL, Docker, Telegram Mini App, Bot API

Marketing Attribution Bot Commercial · delivered

Event-driven attribution automation: an FSM funnel, deeplink parameter parsing, idempotent server-to-server
postbacks, a structured event stream for BI, A/B testing, and multi-language + regional currency handling.
Stack: Python, aiogram, SQLite, httpx, FSM, event logging, i18n

Async Request Classifier Public repo · code sample

Async multi-source classifier: semaphore-based rate limiting, exponential backoff, a provider abstraction via ABC,
and Pydantic schemas. Public on GitHub as a readable Python sample I can walk through.
Repo: github.com/qvartzggolden01/netpeak-request-classifier
Stack: Python, asyncio, Pydantic, ABC

NFC Attendance Tracker In-house · daily use

USB NFC reader feeding a zero-dependency Python console app (stdlib only). A small state machine, an append-
only raw log as the source of truth, and a CSV written atomically (temp + rename). Deployment is copying the
folder.
Stack: Python (stdlib only)

AI / ML

Conversational LLM Platform Commercial · delivered

Conversational platform on LangChain / LangGraph with a Weaviate vector database SQLite fallback), automatic
language detection, voice transcription, and background workers for reporting and export. Built as an observable
pipeline rather than one-off prompt scripts.
Stack: Python 3.12, FastAPI, LangChain / LangGraph, Weaviate, PostgreSQL, Docker

Computer-Vision Automation Pipeline Commercial · delivered

Applied-ML automation across three layers: a trained YOLO model (dataset prep, augmentation, transfer learning,
ONNX / TensorRT export), a weighted action orchestrator, and programmatic control of the target application. Runs
continuously across many parallel instances.
500+ concurrent device instances, 24/7
Stack: Python, YOLO, OpenCV, ONNX / TensorRT, LLM API

Async Data Engine + Self-Hosted LLM Setup Personal · R&D

Two learning projects: a long-running async backend (multi-stage data pipeline, deduplication, scoring, a fault-
tolerant Redis wrapper, cost-aware routing across LLM tiers), and a self-hosted setup running open LLMs locally
on a single consumer GPU with a small FastAPI gateway and hybrid RAG LanceDB BM25 . Fully offline / air-
gapped.
8,500 lines of Python across 36 files, running 24/7
Stack: Python, asyncio, SQLAlchemy 2.0 (async), PostgreSQL, Redis, llama.cpp CUDA , LanceDB, BM25, Docker

TECHNICAL SKILLS

Languages 2 yrs Python (primary), SQL, JavaScript / Node.js; some TypeScript

Backend 2 yrs FastAPI, asyncio, aiohttp, httpx, Pydantic v2, SQLAlchemy 2.0 (async), REST APIs,
background workers, rate-limit handling, Express.js

AI / LLM 2 yrs LLM integration OpenAI, Claude APIs; open self-hosted models), LangChain /
LangGraph, RAG LanceDB, Weaviate, BM25 + dense hybrid search), prompt
engineering

ML / Computer Vision 1 yr YOLO (training, transfer learning), OpenCV, ONNX / TensorRT — project-level
experience

Data & Storage 3+ yrs PostgreSQL, Redis, SQLite, LanceDB

Tools & Platforms Git, Linux, Docker / Compose, supervisord, basic CI/CD

Networking / SysAdmin 6 yrs MikroTik, local networks, VPN, RDP, SIP telephony, server management

How I work Design-first, AI-assisted implementation while reading and owning the code; end-to-
end delivery; production mindset from my IT background

EDUCATION

National Technical University "Kharkiv Polytechnic Institute" NTU "KhPI") 2023 2026

Bachelor's degree — Computer Engineering (specialty 123

College "Osvita", Open International University of Human Development "Ukraine" 2016 2019

Junior Specialist (associate-level) — Law

Kremenchuk Higher Vocational School No. 7 2013 2016

Vocational diploma — Information Processing & Software Operator