Architecting high-performance concurrent systems in Rust & Python.
Bridging the gap between robust backends and reactive frontends.
I am a Senior Software Engineer with over 25 years of experience building scalable infrastructure and application systems. My technical philosophy centers on Hybrid Architecture: leveraging Rust's memory safety and raw concurrency for core backend services, while utilizing the ecosystem richness of Python and Flutter for rapid application logic and cross-platform interfaces.
My work focuses on eliminating architectural entropy through standardization (dev_skel) and creating novel bridges between disconnected ecosystems (flet-django). I specialize in Cloud-Native deployments, orchestrating microservices on Kubernetes with a focus on observability and resilience.
🛠 Technology Ecosystem
| Domain | Core Stack | Proficiency Context |
|---|---|---|
| Backend Systems | Rust (Actix, Rocket, Tokio) | High-throughput systems, Geospatial processing, Actor-model concurrency. |
| Application Layer | Python (Django, FastAPI, Celery) | Rapid business logic, AI/LLM orchestration, REST APIs. |
| Frontend & Mobile | Flutter (Dart), Flet, React | Cross-platform native apps (iOS/Android), Internal tooling dashboards. |
| Infrastructure | Kubernetes, Docker, Helm, Terraform | Infrastructure as Code (IaC), GitOps, CI/CD pipeline automation. |
| Data & Storage | PostgreSQL (PostGIS), Redis | Spatial indexing, Real-time session state management. |
🚀 Engineering Portfolio
Role: Lead Developer | GitHub
A paradigm-shifting Fail-Operational Distributed Lift System (DLS) designed for heavy-lift aerial evacuation. Instead of a single massive aircraft, it utilizes a swarm of autonomous drones tethered to a common payload, enabling extraction from environments inaccessible to conventional helicopters.
- Hybrid Stack: Orchestrates real-time swarm logic using Rust for safety-critical controllers and Python for high-level mission planning.
- Decentralized Communication: Leverages Zenoh and ROS 2 (Humble/Jazzy) for low-latency, resilient data distribution between swarm nodes.
- Fail-Operational Design: Implements redundant lift algorithms where the swarm maintains stability and payload altitude even upon individual drone failure.
Role: Creator & Lead Architect | GitHub
A comprehensive digital twin framework for developing and testing autonomous drone swarm behavior without physical hardware. It provides a complete simulation environment for the [DAS-SAR] project, enabling rapid iteration on safety-critical flight algorithms and AI perception.
- Multimodal Simulation: Features standalone Python-based rigid-body physics for rapid testing and full Docker-orchestrated environments for multi-drone swarm validation.
- Safety-Critical Logic: Implements real-time swarm coordination and distributed lift controllers in Rust via Zenoh and ROS 2.
- End-to-End Validation: Integrates AI perception pipelines (YOLOv8/11) with mocked sensors and 3D localization within a synchronized simulation loop.
Role: Architect | GitHub
An autonomous development framework for the Django-Bolt ecosystem. It coordinates teams of AI agents to handle full-stack implementation—from models and APIs to tests and deployment—while maintaining extreme performance through Rust integration.
- Django-Bolt Integration: Leverages Rust-powered API performance (60k+ RPS via Actix Web + PyO3) within the Django ecosystem.
- Multi-Agent Orchestration: Deploys specialized AI agents to reason over application data and execute complex, multi-layered development tasks.
- Full-Cycle Automation: Automates the generation of Django ORM models, structured JSON schemas, and Flet-based reactive frontends.
Role: Creator | GitHub
A specialized mobile and desktop client for PiKVM, built with Flutter. It allows users to manage and control remote servers via PiKVM with a native, high-performance interface.
- Cross-Platform: Provides a consistent experience across Android, iOS, and Desktop.
- Low Latency: Optimized for remote control scenarios where responsiveness is critical.
Role: Full Stack Architect | Live App
A production mobile application that acts as an intelligent personal tour guide. The system solves the challenge of delivering real-time, location-aware content by combining high-performance geospatial querying with Generative AI.
- Rust Actix Backend: Leverages the Actor Model to handle thousands of concurrent WebSocket connections with sub-millisecond latency.
- Geospatial Intelligence: Utilizes PostGIS for advanced spatial indexing (R-Tree), enabling efficient "K-Nearest Neighbors" (KNN) queries.
- Generative AI Pipeline: Orchestrates an asynchronous job queue feeding POI data into LLMs to generate unique, context-aware audio stories.
Role: Architect & Maintainer | GitHub
dev_skel is a comprehensive scaffolding and orchestration engine designed to standardize the lifecycle of modern microservices. Born from the necessity to maintain architectural consistency across polyglot environments (Rust/Python), it serves as the foundational "DNA" for high-performance applications.
- Polyglot Bootstrapping: Instantly scaffolds production-ready directory structures for FastAPI (Python) and Actix (Rust) services, enforcing Domain-Driven Design (DDD) principles.
- Container Optimization: Implements advanced Docker patterns, including multi-stage builds and distroless images for Rust (<50MB artifacts).
- Kubernetes-Native Config: Automatically generates production-grade Helm charts, including pre-configured Readiness/Liveness probes, HPA rules, and Ingress definitions.
Role: Creator & Lead Maintainer | PyPI | GitHub
An innovative open-source framework that bridges the gap between Django's mature backend ecosystem and Flutter's reactive UI capabilities (via Flet). This project solves the "disconnected frontend" problem, allowing Python developers to build rich, native-feeling desktop and mobile apps without writing a single line of JavaScript or Dart.
- Architecture: Runs the Flet engine directly within the Django process. Utilizes custom Middleware to upgrade HTTP requests to WebSockets, enabling real-time, bi-directional communication.
- The GenericApp Pattern: Implements abstract base classes (
GenericApp,GenericView) that automate the binding of Django Models to Flutter UI controls. - Zero-Boilerplate CRUD: Features introspection capabilities that analyze Django Models to auto-generate data tables, forms, and list views.
📂 Other Contributions
- actix-generic-crud: A library demonstrating advanced Rust capabilities (Traits/Generics) to solve the "boilerplate problem" in web frameworks.
- fastapi-k8s-microservice-template: A reference architecture for deploying Python microservices at scale, serving as the public proof-of-concept for the dev_skel philosophy.
- tree-sitter-macro: Rust macros for tree-sitter integration, showcasing deep language parsing and manipulation techniques.
📬 Contact
- Email: beret@hipisi.org.pl
- GitHub: github.com/berecik




