# Full-Stack Developer
with a Deep Passion for AI

#include <iostream>
#include <vector>
#include <thread>

class ParallelMatrixEngine {
public:
    void executeTask(int thread_id) {
        std::cout << "[C++20 Thread #" << thread_id << "] High-performance matrix kernel computed." << std::endl;
    }
};

int main() {
    ParallelMatrixEngine engine;
    std::cout << ">> Initializing CUDA & C++ Thread Pool..." << std::endl;
    engine.executeTask(0);
    return 0;
}

import torch
import cv2
from ultralytics import YOLO

class VisionPipeline:
    def __init__(self):
        self.device = "cuda" if torch.cuda.is_available() else "cpu"
        print(f">> PyTorch 2.4.0 active on device: {self.device}")

    def detect_objects(self, frame):
        model = YOLO("yolov8n.pt")
        results = model(frame)
        return len(results[0].boxes)

pipeline = VisionPipeline()

package com.weijian.portfolio;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class SkillApplication {
    public static void main(String[] args) {
        System.out.println(">> Starting Spring Boot Microservice Container...");
        SpringApplication.run(SkillApplication.class, args);
    }
}

using System;
using System.Threading.Tasks;

namespace Weijian.Engine
{
    class Program
    {
        static async Task Main(string[] args)
        {
            Console.WriteLine(">> .NET 8.0 Async LINQ Stream Engine Initialized.");
            await Task.Delay(100);
        }
    }
}