Станіслав

STANISLAV RUDYK
Frontend Developer
Ukraine (UTC+3) · Remote | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация»)
[открыть контакты](см. выше в блоке «контактная информация») | github.com/StanislavRudyk | stanislavrudyk.github.io/portfolio

PROFESSIONAL SUMMARY
Frontend Developer with hands-on experience building interactive React applications backed by Python APIs. Developed responsive dashboards with interactive Leaflet maps, e-commerce UIs with TypeScript, and a professional portfolio with modern CSS animations. Skilled in component-based architecture, state management, and API integration. Experience with Docker-based development workflows and GitHub Actions CI/CD ensures smooth collaboration with backend teams.
TECHNICAL SKILLS
Languages
Python, C#, JavaScript, TypeScript, SQL, HTML/CSS
Backend
FastAPI, Flask, Django, ASP.NET Core 8, REST API
Frontend
React, WinForms (GDI+)
Databases
PostgreSQL, MySQL, SQLite, Redis
DevOps
Docker, Docker Compose, Nginx, GitHub Actions CI/CD, Traefik
AI/ML
Gemini API, Anthropic Claude API, Qwen2-VL, EasyOCR, Tesseract
Tools
Git, Alembic, Swagger/OpenAPI, Metabase, NocoDB, n8n
Architecture
Microservices, Clean Architecture, DDD, SOLID, OOP
EXPERIENCE
Freelance Software Engineer
Self-Employed · Remote — 2024 – Present
• Architected a high-throughput B2B lead processing pipeline (Lead Importer) capable of ingesting, normalizing, deduplicating, and enriching 100K+ records per batch from CSV/XLSX, Meta Ads API, and third-party CRMs
• Implemented AI-powered column detection using Gemini and Anthropic LLMs, eliminating manual data mapping and reducing import setup time by 80%
• Designed a streaming data architecture using Python generators to handle 5GB+ files without RAM overflow, with PostgreSQL bulk upserts (INSERT ON CONFLICT)
• Built an enterprise SaaS agronomist platform with FastAPI backend, React frontend, JWT/OAuth2 authentication, Redis session management, and interactive Leaflet geospatial maps
• Developed an AI-powered promotional code parser leveraging local Qwen2-VL model (4-bit quantized), EasyOCR, and Playwright browser automation for multi-threaded newsletter subscription across 4 countries
• Engineered a café management system using ASP.NET Core 8 Web API, Entity Framework Core, and a custom GDI+ rendering engine, deployed via Docker
• Deployed all projects with production-grade infrastructure: Docker Compose multi-service stacks, Nginx reverse proxy, GitHub Actions CI/CD, Alembic migrations, and Traefik with Let's Encrypt SSL
PROJECTS
Lead Importer — B2B Data Pipeline & CRM Integration Platform
Python · FastAPI · PostgreSQL · Docker · Nginx · GitHub Actions · Alembic · n8n · Metabase
Production stack for collecting, normalizing, deduplicating, and enriching leads from multiple sources. AI-powered column mapping with LLM fallback; JSONB lineage tracking; background workers for geo-enrichment and email marketing sync.
github.com/StanislavRudyk/lead_importer
Agronomist Platform — Enterprise SaaS for Agricultural Business
Python · FastAPI · React · PostgreSQL · Redis · Docker · GitHub Actions CI/CD
Full-stack platform with 7+ modules: field management (Leaflet), yield prediction (Liebig's Law), machinery monitoring, warehouse GOST classification. JWT + Redis auth with Google OAuth 2.0.
github.com/StanislavRudyk/agronomist
Promokod Parser — AI-Powered Promotional Intelligence System
Python · Flask · Qwen2-VL · EasyOCR · Playwright · Docker · Traefik
Automated promo code extraction from emails using local AI model with OCR; multi-threaded subscription automation; RSS feed generation. Dockerized with Traefik and Let's Encrypt SSL.
github.com/StanislavRudyk/promokod-parser
CoffeSystem — Café Management Platform
C# · ASP.NET Core 8 · Entity Framework Core · PostgreSQL · WinForms · Docker
Client-server architecture with REST API backend, admin analytics dashboard, and POS cashier terminal with custom GDI+ UI engine.
github.com/StanislavRudyk/coffesystem-
EDUCATION
Bilhorod-Dnistrovskyi Professional College of Natural Resource Management,
Construction and Computer Technologies
Programmer (Computer Science) — 2023 – 2027
ADDITIONAL
Languages: Ukrainian (Native), English (Professional Working), Russian (Fluent)
Open Source: 7 public repositories on GitHub with documented READMEs and Docker deployment
Volunteering: IT volunteer — designed custom binary protocol reducing network traffic by 60%; implemented CRDT conflict resolution