I am a multidisciplinary Systems Architect and DevOps Engineer with 14 years of experience designing high-concurrency backends, automating deployment pipelines, and building production-ready applications. I specialize in bridging the gap between complex architectures, whether that is integrating machine learning models (LLMs/CV) into consumer software, or optimizing bare-metal server environments.

My engineering philosophy is simple: Build for scale, automate the toil, and optimize for latency.

Core Production Languages

• High Fluency: PHP, C# (.NET / Unity), Objective-C, Swift (iOS)
• Adaptable Stack: Python, TypeScript/JavaScript, Node.js, Java, Bash

Infrastructure, DevOps & SRE

• Virtualization & Containers: Proxmox VE, LXC, Docker
• CI/CD & Orchestration: GitHub Actions (Self-Hosted Runners), Steamworks/AppStore Build Pipelines
• Systems: Nginx, Linux Server Administration, ZFS Storage

AI Orchestration & Data Engineering

• Computer Vision: PaddleOCR, Detectron2, Image Segmentation & Inpainting
• LLM & Automation: Autonomous Agents, Asynchronous Job-Queues, RAG Pipelines
• Databases: MySQL / MariaDB, Redis (Caching), SQLite, Firestore

I build systems that solve distinct friction points in software delivery and operations:

• Asynchronous Financial Reconciliation: Engineered end-to-end OCR and LLM pipelines to autonomously parse, validate, and categorize anomalous financial datasets.
• Real-Time Aggregation: Built highly concurrent web-scraping ecosystems utilizing WebSockets to push live inventory arrays to simultaneous client endpoints.
• Native Mobile Bridging: Deep experience in low-level iOS architectures, from CoreBluetooth hardware integrations to AVFoundation media processing.

Connect: LinkedIn | Studio/Production Profile: @GamerzDan