Bruno Pistone

Bruno Pistone

Sr. Worldwide GenAI Specialist SA at AWS

Proven leader in foundation model customization, distributed training, and agentic AI platform development.

Named among the Top 500 Italians Shaping the Future of AI (2024)

Impact

100+

Enterprise customers transformed with GenAI & LLM solutions

30+

Technical publications on ML & distributed systems

2M+

Developers using open-sourced training frameworks

50+

AI specialists in AWS technical community led

Expertise

Deep Learning

PyTorch Hugging Face DeepSpeed Megatron-LM FSDP LoRA/QLoRA PEFT

Distributed Systems

torch.distributed NCCL Ray MPI SageMaker HyperPod Kubernetes (EKS)

Optimization

Mixed Precision (BF16, FP16, FP8) Gradient Checkpointing Activation Checkpointing ZeRO

Accelerators & Infra

NVIDIA GPUs AWS Trainium AWS Inferentia Multi-node GPU Clusters

GenAI Frameworks

LangChain LlamaIndex CrewAI Semantic Caching

Search & Storage

FAISS pgvector Amazon OpenSearch

Evaluation & Safety

RAGAS LLM Evaluation Pipelines Prompt Injection Testing Guardrails

MLOps & Production

CI/CD for ML Model Monitoring Inference at Scale SageMaker Bedrock

Experience

Sr. WW GenAI Specialist SA – Amazon SageMaker AI Training

Amazon Web Services

2024 – Present

Architecting scalable GenAI solutions, defining GTM strategy for model customization, leading 50+ AI specialists globally. Pioneered distributed training for 70B+ parameter LLMs, achieving 30% training time reduction and 40% memory optimization.

Sr. Generative AI/ML Specialist SA – Global Strategic Accounts

Amazon Web Services

2023 – 2024

Drove GTM strategy for GenAI across Automotive, Manufacturing, and Financial Services. Designed RAG systems processing 1M+ documents with sub-200ms latency.

ML Engineer → AI/ML Specialist SA

Amazon Web Services

2020 – 2023

Built production ML platforms, established MLOps standards across EMEA, launched multi-tenant ML platforms for 100+ data scientists.

Senior Data, ML & Cloud Engineer

Machine Learning Reply

2019 – 2020

Developed production ML models on GCP, led computer vision R&D, mentored engineering teams.

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