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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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@OpenCAPai @EpitechMscProPromo2028

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Maki-Grz/README.md

Maximilien Grzeczka

Full Stack Developer | Rust Enthusiast 🦀 | SAP BTP & AI Systems

Important

Current Mission: I am currently driving the transition to Cloud-Ready and Clean Core environments at VINCI Construction SI while completing a Master of Science in Artificial Intelligence at Epitech Paris.

Full Stack Developer focused on high-performance systems, artificial intelligence, and the modernization of enterprise architectures.

Note

Architectural Philosophy: Bridging the gap between robust legacy enterprise ecosystems (SAP BTP) and modern, high-concurrency paradigms using Rust, Vector databases, and AI modeling.

Core Focus

  • Enterprise Modernization: Architecting SAP BTP solutions using Clean Core principles (ABAP Cloud, RAP, CDS).
  • AI Engineering: Researching and deploying RAG (Retrieval-Augmented Generation) and LLM's via SAP AI Core.
  • System Performance: Engineering low-latency backends and high-concurrency infrastructures in Rust.

Selected Projects

lumen-rag

A high-performance RAG framework written in Rust. It implements local BERT embeddings via the Candle library to optimize compute costs and retrieval latency. Designed with a modular backend architecture supporting Qdrant, MongoDB, and CosmosDB.

Tip

Looking for a fast, local vector search implementation ? Check out this modular architecture to see how to balance compute costs and retrieval latency effectively.

Qdrant Rust Client

Small contributor to the official Rust SDK for the Qdrant vector database. My work focuses on SDK maintenance, performance optimization, and streamlining the developer experience for vector search implementations.

Netanime

A full-stack streaming infrastructure leveraging Apple HLS and AWS EC2. Built with an Actix-web API, it was engineered to handle high traffic loads with significant engagement.

Warning

High Traffic Achieved: Engineered to successfully process 40k+ impressions while maintaining low latency and system stability.

Technical Infrastructure

  • Languages: Rust (Actix/Axum), TypeScript, ABAP Cloud, Node.js.
  • Data & AI: Qdrant (Vector Search), ScyllaDB, CosmosDB, SAP AI Core, BERT/Candle.
  • Cloud: SAP BTP, Azure, Google Cloud, AWS, Cloudflare Workers.

Validations

  • ScyllaDB: 5x Certified.
  • Microsoft: Azure Fundamentals (AZ-900).
  • Apple: Apple Search Ads.

Caution

Proceed with caution: I have a highly contagious passion for strict type safety and might spontaneously suggest rewriting your backend in Rust. 🦀

LinkedIn • Portfolio

📊 WakaTime

wakatime wakatime since

Pinned Loading

  1. qdrant/rust-client qdrant/rust-client Public

    Rust client for Qdrant vector search engine

    Rust 381 77

  2. lumen-rag lumen-rag Public

    A modular, database-agnostic RAG framework for Rust supporting MongoDB and Qdrant.

    Rust

  3. gitbook2text gitbook2text Public

    A CLI tool to download GitBook pages and convert them to markdown and text

    Rust 2

  4. mlp-mini-burn mlp-mini-burn Public

    MLP Mini Burn is a Rust-based learning project demonstrating a Multi-Layer Perceptron (MLP) implementation using the Burn deep learning framework.

    Rust

  5. dungeon-portfolio dungeon-portfolio Public

    Interactive portfolio web application inspired by Minecraft Dungeons’ map system, where users explore a gamified map to discover projects, skills, and experiences.

    Vue