Ivan Zamula

Architected and developed AI-based tool for automated Work Breakdown Structure. FastAPI backend, Gradio UI, LLM integration. Won internal hackathon. Enhanced RAG service for searching corporate knowledge bases. Developed connectors for Jira, Confluence, corporate portal. Orchestrated Airflow pipelines: DAGs, variables, dependencies. Set up GitLab CI/CD. Participated in initial phase of Complaints System: requirements analysis, deployment of AI agents (Cline/Claude), vibecoding for rapid prototyping.

Simulation & Optimization Project (Lead Backend Developer) Engineered discrete event simulation with Salabim to optimize scheduling routes. As lead backend developer, crafted essential services for MDT and excavator simulation project. Enhanced predictive capabilities for simulator and optimizer.

Video Analytics System for Oversize Grain Detection Developed full-cycle video-analytics services for grain size control. Engineered all services for camera, data storage, processing, notification and streaming. Stack: OpenCV, MinIO (S3), Kafka (Java). Applied linting, health checks, Docker. Set up monitoring (Prometheus/Grafana) and Sentry. Reduced material waste by up to 20%.

Developed core backend services for a microservices-based dispatching system for a major mining enterprise. Built models, services, selectors, serializers, CRUD, REST APIs, comprehensive test suites. Integrated with third-party services. Performed refactoring, code reviews, unit testing. Collaborated with Discovery team (analysts, architects). Stack: Django, DRF, FastAPI, PostgreSQL, Redis, Docker, Prometheus, Grafana.