--- title: "Lech Kalinowski" description: "Lech Kalinowski holds a PhD in physical sciences and works across AI, blockchain and cybersecurity projects here. Meet the Callstack engineering team." url: https://www.callstack.com/team/lech-kalinowski updated: 2026-10-22T14:18:28.014Z --- # Lech Kalinowski Lech Kalinowski holds a PhD in physical sciences and works across AI, blockchain and cybersecurity projects here. Meet the Callstack engineering team. _Senior AI System Engineer_ Lech Kalinowski is a data scientist and machine learning expert with a PhD in Physical Sciences. His background spans physics, AI, blockchain, and cybersecurity, with experience turning advanced research into practical products and business value across startups and enterprise environments. [LinkedIn](https://www.linkedin.com/in/lech-kalinowski/) · [X](https://x.com/LeSiOO) · [GitHub](https://github.com/lech-kalinowski) ## What I’ve been shipping - [Quantization Impact on LLM Quality: A Case Study of Apex](https://www.callstack.com/events/quantization-impact-on-llm-quality-a-case-study-of-apex-a-gemma-based-model) (Talk, 11/4/2026): Artur Morys-Magiera and Lech Kalinowski share findings from 344 benchmark runs with Apex, our Gemma-based LLM, examining the trade-offs between model size, decode speed, and quality. - [No Framework, No Server: Making AI Agents Collaborate in One Terminal](https://www.callstack.com/events/no-framework-no-server-making-ai-agents-collaborate-in-one-terminal) (Talk, 9/15/2026): Lech Kalinowski will show how Agents Commander lets multiple AI coding agents collaborate directly in one terminal without a central server or heavyweight framework. - [Graph Agentic Coding Extends AI Workflows](https://www.callstack.com/events/how-graph-agentic-coding-extends-ai-workflows) (Live Stream, 8/27/2026): How connected state, retrieval, memory, and verification carry coding agents across complex, multi-step workflows. Kewin Wereszczyński and Lech Kalinowski discuss the structures that let agents plan, retrieve context, use tools, and keep working across longer tasks. - [Automating React Native Evals With Airflow](https://www.callstack.com/blog/automating-react-native-evals-with-airflow) (Article, 8/21/2026): How Airflow coordinates React Native Evals, runs solver and judge models separately, and keeps every result traceable through human review. - [Building Vault: A Dual-Screen Terminal for Self-Hosted AI Agents](https://www.callstack.com/blog/building-vault-a-dual-screen-terminal-for-self-hosted-ai-agents) (Article, 7/22/2026): See how Vault uses an ESP32, OLED, and e-paper display to control an OpenClaw agent and a locally served LLM on a DGX Spark. - [Agencies or Swarms? What Small Model Cooperation Means for AI Engineering](https://www.callstack.com/blog/agencies-or-swarms-what-small-model-cooperation-means-for-ai-engineering) (Article, 5/21/2026): A hands-on look at agentic swarms, distributed inference, and what small-model benchmarks suggest about future AI infrastructure. - [Improve Your AI Coding Workflow With Cursor Tips and Tricks](https://www.callstack.com/events/improve-your-ai-coding-workflow-with-cursor-tips-and-tricks) (Live Stream, 5/7/2026): Explore practical tips for working with AI coding agents, managing context, using skills, reviewing code, and choosing the right models. - [When to Use Apple Foundation Models on Mobile](https://www.callstack.com/blog/when-to-use-apple-foundation-models-on-mobile) (Article, 4/27/2026): Apple’s Foundation Models framework gives mobile teams a practical local-first option for short, privacy-sensitive, and low-latency tasks, while cloud models still handle the heavier work. - [Ambient Generative AI: Deploying Latent Diffusion Models on Mobile NPUs](https://www.callstack.com/events/ambient-generative-ai-deploying-latent-diffusion-models-on-mobile-npus) (Talk, 4/20/2026): Join Lech Kalinowski at AI Engineer Miami on April 20–21 for a talk on running offline latent diffusion models on mobile NPUs. - [Agents Commander: A Lightweight Interface for Multi-Agent CLI Workflows](https://www.callstack.com/blog/agents-commander-a-lightweight-interface-for-multi-agent-cli-workflows) (Article, 4/1/2026): Manage and connect multiple AI agents in a CLI with a simple communication protocol. - [RAG Is Dead. Long Live Context Engineering for LLM Systems](https://www.callstack.com/blog/rag-is-dead-long-live-context-engineering-for-llm-systems) (Article, 3/27/2026): When should you skip RAG? Learn how structured context and direct LLM APIs can replace retrieval pipelines in many systems. - [A Practical Guide to LLM Model Naming Conventions](https://www.callstack.com/blog/how-quantization-and-naming-conventions-shape-llm-deployment) (Article, 3/18/2026): Learn how to read LLM naming conventions and choose the right model for your hardware. Discover what Q4, INT8, GPTQ, and GGUF mean and why models appear in multiple variants. - [React Native Evals: Measuring AI Code Quality in Practice](https://www.callstack.com/events/react-native-evals-making-ai-code-quality-measurable) (Live Stream, 3/12/2026): React Native Evals introduces a data-driven way to measure how AI coding models perform on real React Native development tasks. - [Announcing React Native Evals](https://www.callstack.com/blog/announcing-react-native-evals) (Article, 3/5/2026): We built an open-source benchmark to measure how AI coding models handle real React Native tasks, such as animations, async state, navigation, and more. JOIN US ## Build the AI-native React Native future Work with engineers who contribute to the ecosystem and turn new technology into real products. At Callstack, AI is part of how we build, learn, and ship software. [Join Us](https://www.callstack.com/careers) [About us](https://www.callstack.com/about-us)