Low-level ML engineer focused on the intersection of algorithms and systems programming. I build the infrastructure layer that enables AI to scale—optimized inference engines, high-performance ML frameworks, and production-grade systems.

class MLEngineer {
    string focus = "Building production ML systems";
    string graduation = "Class of 2028";
    int problems_solved = 100+;
    
    vector<string> interests = {
        "Systems Performance",
        "C++ Optimization", 
        "ML Infrastructure",
        "Algorithm Implementation"
    };
};

Currently Mastering:

• Advanced C++ (RAII, templates, move semantics)
• Computer architecture & optimization (cache, SIMD, memory hierarchy)
• ML inference optimization (quantization, pruning, distillation)
• CUDA programming & parallel computing
• Production ML systems (serving, monitoring, deployment)

Roadmap to 2028:

• ✅ C++ fundamentals and STL mastery
• ✅ 100+ LeetCode problems solved
• 🔄 Advanced DSA & competitive programming
• 🔄 Deep learning implementation in C++
• 📋 Open source contributions (PyTorch, ONNX, TensorRT)
• 📋 Custom ML inference engine
• 📋 ML Systems role at FAANG

I specialize in performance-critical systems and first-principles implementations:

🔥 Performance-Critical ML
Inference engines, model optimization, custom CUDA kernels

⚙️ From-Scratch Implementations
Neural networks, backpropagation, optimizers—all in C++

🏗️ Systems Infrastructure
Scalable ML pipelines, distributed training systems

📊 Data Engineering
ETL pipelines, real-time processing, big data solutions

⚡ High-Performance Computing
Competitive programming, systems optimization

I'm actively looking to collaborate on:

• 🚀 High-performance ML systems & inference optimization
• ⚙️ C++ projects (algorithms, systems programming, performance engineering)
• 🏗️ Production ML infrastructure & MLOps
• 📄 Research paper implementations from scratch
• 🏆 Competitive programming & algorithm challenges

Open to: Research collaborations, open source contributions, technical discussions

Feel free to reach out for collaborations, technical discussions, or just to connect!

• 💼 LinkedIn
• 📧 Email
• 🌐 Portfolio