AI Engineer | AI Systems Enthusiast
Building robust ML systems at scale with interest in:
- ML Productionization: Model serving, MLOps, distributed training
- Generative AI: LLM fine-tuning, RAG systems, transformer architectures
- ML Infrastructure: Kubernetes orchestration, model optimization, monitoring
- LLM Optimization: Quantization techniques, efficient attention mechanisms
- Distributed Training: Building arcane - a distributed ml framework :D
- ML Security: Adversarial robustness in production models
- Recent Papers: LoRA: Low-Rank Adaptation, FlashAttention
- Books I'm Reading: