class SystemsEngineer:
    def __init__(self):
        self.languages = ["C++", "Python", "Rust", "Metal (MSL)"]
        self.systems = ["Buffer Pools", "B+ Trees", "Concurrency Control", "GPU Kernels"]
        self.infrastructure = ["FastAPI", "Docker", "AWS", "Linux"]
        
        self.current_work = {
            "role": "AI & Systems Engineer @ SmatBot",
            "focus": "Inference latency optimization & high-throughput data pipelines"
        }
        
        self.open_source = {
            "llama.cpp": "Metal GPU backend — GGML_OP_CONV_3D (F16/F32) & Gated Linear Attention kernels",
            "Docling (IBM)": "Re-engineered table detection with Flood Fill (BFS)",
            "LanceDB": "Sync/Async API parity in Python SDK"
        }

    def deep_tech_projects(self):
        return [
            "CMU BusTub — Buffer Pool Manager, B+ Tree Index, Query Execution (C++)",
            "Metal kernel development for inference operators (MSL/GGML)",
            "Production inference pipeline re-architecture (25-35% latency reduction)"
        ]

    def currently_exploring(self):
        return "GPU compute, inference optimization, and database internals."