Professional Experience

Building production systems & AI infrastructure

Work Experience

Kalasar

May 2025 - Present

Munich, Bavaria, Germany

→RAG System Architecture: Engineered a production-grade Retrieval-Augmented Generation pipeline that processes 100+ products and generates 1,000+ contextual embeddings using pgvector for semantic search capabilities
→Localization at Scale: Implemented multilingual support using Azure OpenAI structured outputs for intelligent, dynamic translation generation across multiple languages with integrated glossary management for contextual accuracy
→Conversational AI Agents: Built a real-time voice AI platform using the Pipecat framework enabling conversational AI systems for requirement engineering interviews and live meeting transcription with high accuracy
→Analytics Infrastructure: Designed and implemented a comprehensive analytics platform with interactive dashboards, data aggregation pipelines, and scheduled temporal workflows for automated processing and insights generation
→Modern Frontend Development: Architected type-safe React 19 applications leveraging TanStack Router for advanced routing and TanStack Query for sophisticated server state management and data synchronization
→Scalable Microservices: Architected FastAPI microservices with enterprise-grade authentication (Keycloak and Clerk), Redis caching layers, and PostgreSQL persistence for robust, scalable backend systems

PythonFastAPIReactTypeScriptAzureHetznerS3OpenAIGeminiAnthropicRAGpgvectorPostgreSQLRedisDocker

Flightbox sp. z o. o.

Oct 2024 - Mar 2025

Wrocław, Poland

→Enterprise ETL Infrastructure: Developed and maintained containerized ETL pipelines using Docker and orchestration tools for complex data processing workflows in production environments
→Production System Integration: Seamlessly integrated data processing solutions into existing production infrastructure with comprehensive error handling, retry logic, and monitoring capabilities
→High-Performance Async Systems: Engineered asynchronous data processing systems using the Twisted framework to handle high-throughput operations with reliability and optimal resource utilization

PythonTwistedSeleniumDockerETLLinux

Piotr Krzysztof Lis Codex

Jun 2024 - Present

Wrocław, Poland

→Enterprise Infrastructure Operations: Architected and operate production datacenter infrastructure spanning Kubernetes clusters, virtualized environments (Proxmox/QEMU), and distributed NAS storage systems for optimal uptime and reliability
→Advanced Observability Platforms: Deployed comprehensive Prometheus and Grafana infrastructure for real-time metrics collection, visualization, alerting, and performance analytics
→Secure Network Architecture: Engineered enterprise-grade network infrastructure with VPN services (WireGuard and Tailscale), zero-trust remote access patterns, and automated SSL/TLS certificate lifecycle management
→GPU-Accelerated AI/ML Platform: Operating large language model inference stack with Llama, Qwen, and Mistral models leveraging NVIDIA CUDA for high-performance GPU-accelerated computations and optimized throughput

KubernetesDockerProxmoxQEMUGrafanaPrometheusWireGuardCUDAAnsibleLinux

DSW University of Lower Silesia, Wrocław

Oct 2022 - Mar 2026 (Expected)

GPA: 5.00/5.00 (Top of Class)

School Complex No.1 in Szczytno

Graduated May 2022

GPA: 5.62/6.00

•Rector's Scientific Scholarship for Best Students (2023, 2024, 2025) — Three-Time Recipient
•Prime Minister's Scholarship (2020, 2021) — Two-Time Recipient

•EE.09 Certificate: Website and Database Programming, Creation and Administration (Mar 2022)
•EE.08 Certificate: Assembly and Operation of Computer Systems, Peripheral Devices and Networks (Sep 2021)
•PCAP: Programming Essentials in Python, Cisco Networking Academy (Jan 2023)