ML Engineer | AI Systems Builder | Scalable ML Infrastructure

Turning models into production systems.

👋 About Me

I build, optimize, and deploy machine learning systems at scale.

My focus areas:

• Production ML pipelines
• Multimodal AI systems
• Distributed training & performance optimization
• Inference infrastructure
• Cloud-native ML deployment
• Backend architectures for AI services

I care about:

Performance • Reliability • Scalability • Clean system design

🧠 Machine Learning Stack

⚡ Performance & Distributed Systems

🏗 Backend & ML Infrastructure

☁ Cloud & Systems

📊 GitHub Analytics

🔥 What I Enjoy Building

• Real-time inference systems
• Robust multimodal ML services
• Model observability tooling
• Performance-optimized training loops
• AI-backed APIs
• Clean, modular backend systems

🎯 What I'm Building Toward

• End-to-end ML product ownership
• Designing scalable backend systems for AI products
• Low-latency inference services
• Cloud-native AI architectures
• Production monitoring & model lifecycle management
• Translating research models into deployable systems

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