mglasder - Overview

class AppliedAIEngineer(Human):
    def __init__(self, name, interests, expertise, languages, focus_areas):
        super().__init__(name, interests)
        assert isinstance(languages, list) and len(languages) > 0
        self.expertise = expertise
        self.languages = languages
        self.focus_areas = focus_areas

    @staticmethod
    def working_on() -> str:
        return "Agentic AI systems for industrial and legal workflows."


me = AppliedAIEngineer(
    name="Magnus Glasder",
    expertise=[
        "LLM Systems (RAG, tool use, agent workflows)",
        "Machine Learning / Deep Learning",
        "Technical Solution Scoping",
        "Production AI Delivery (Python, Docker, monitoring)",
        "Software Engineering (SOLID, TDD)",
        "Enterprise stakeholder communication (Heads of Function to C-suite executives)",
    ],
    interests=[
        "Legal AI / Legal Tech",
        "Skiing",
        "Running (Half-)Marathons",
        "Cooking",
        "Coding",
    ],
    languages=[
        "Python",
        "TypeScript",
        "SQL (basics)",
        "German (native)",
        "English (C2)",
        "Catalan (A2)",
    ],
    focus_areas=[
        "Industrial agentic AI (PFMEA, engineer-to-order automation)",
        "Legal AI assistants",
    ]
)