Mona Mona
Employers on the program
- 2019–2026Amazon Web Services5 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | workshop | Foundational Model Ops with Amazon SageMaker AI and Amazon Bedrock as AWS Build a fine-tuning pipeline that proves its own results. In this workshop, run the full loop, baseline eval, fine-tune, RL, re-eval, against the same bar every…Show lessBuild a fine-tuning pipeline that proves its own results. In this workshop, run the full loop, baseline eval, fine-tune, RL, re-eval, against the same bar every time. | |
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | chalk talk | Stop the bleed: control and optimize agent costs on AgentCore as AWS Your agent cost $0.02 per session in testing. In production it's $0.14 and climbing. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Advanced model customization with Amazon Nova [REPEAT] as AWS Master advanced fine-tuning techniques to customize Amazon Nova in this engaging 60-minute hands-on session. Learn to adapt Amazon Nova for financial advisory…Show lessMaster advanced fine-tuning techniques to customize Amazon Nova in this engaging 60-minute hands-on session. Learn to adapt Amazon Nova for financial advisory and investment analysis, including analyzing market data, assessing investment opportunities, and generating personalized financial recommendations. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Customize Amazon Nova in Amazon SageMaker AI for your business needs as AWS Learn to build AI your way with customization techniques available on Amazon Nova. Discover flexible options to create tailored AI solutions, regardless of…Show lessLearn to build AI your way with customization techniques available on Amazon Nova. Discover flexible options to create tailored AI solutions, regardless of technical expertise. | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | Deploy an ML model on the cloud and at the edge as Amazon Web Services In this workshop, learn how to use Amazon SageMaker Neo deep learning compiler to compile your trained TensorFlow models and deploy them on the cloud or on edge…Show lessIn this workshop, learn how to use Amazon SageMaker Neo deep learning compiler to compile your trained TensorFlow models and deploy them on the cloud or on edge devices using AWS IoT Greengrass. Learn how Neo deep learning compiler optimizes the trained models by improving efficiency and reducing the memory footprint of the compiled model and how Neo runtime abstracts the underlying hardware... | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ali Saidi | 3 | — | 2026 |
| Amit Kumar | 3 | — | 2026 |
| Andrew Baird | 3 | — | 2026 |
| Andrew Crudge | 3 | — | 2026 |
| Andrew Krug | 3 | — | 2026 |
| Andy Reedy | 3 | — | 2026 |
| Andy Warfield | 3 | — | 2026 |
| Anuj Dewangan | 3 | — | 2026 |
| Arthur Petitpierre | 3 | — | 2026 |
| Artur Rodrigues | 3 | — | 2026 |
| Avni Rambhia | 3 | — | 2026 |
| Brian Beach | 3 | — | 2026 |
| Carlos Manzanedo Rueda | 3 | — | 2026 |
| Chad Schmutzer | 3 | — | 2026 |
| Christian Elsen | 3 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.