Kashif Imran
Employers on the program
- 2019–2025Amazon Web Services4 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Evaluating AI agents: real-world lessons from Amazon's agent systems as Amazon Web Services Roll up your sleeves for this interactive session where we'll whiteboard Amazon's frameworks for evaluating complex AI agents in production. | |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | COVID-19: Identity verification & work safety with Amazon Rekognition as AWS, AI Today, businesses are looking for ways to adapt to the challenges created by COVID-19. For example, financial businesses need to verify customer identity before…Show lessToday, businesses are looking for ways to adapt to the challenges created by COVID-19. For example, financial businesses need to verify customer identity before accessing online services, educators need to verify student identity during remote tests, and Retail & Wholesaleers need to keep their employees and customers safe as they interact in physical proximity. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | [REPEAT 1] Automate content moderation and compliance with AI as Amazon Web Services Brand safety is a major concern as advertising becomes more automated. Issues with ad adjacency arise, contracts with brands or celebrities run out, and…Show lessBrand safety is a major concern as advertising becomes more automated. Issues with ad adjacency arise, contracts with brands or celebrities run out, and user-generated content can be difficult to manage. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | [REPEAT 1] Large-scale document processing with Amazon Textract as Amazon Web Services Millions of mortgage applications and hundreds of millions of W-2 tax forms are processed each year—many times using manual data entry. In this chalk talk, we…Show lessMillions of mortgage applications and hundreds of millions of W-2 tax forms are processed each year—many times using manual data entry. In this chalk talk, we discuss how to architect a solution to extract text and data from these types of documents at scale for automatic processing. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex DeBrie | 3 | — | 2025 |
| Ali Saidi | 3 | — | 2025 |
| Andrew Baird | 3 | — | 2025 |
| Anuj Dewangan | 3 | — | 2025 |
| Ashish Palekar | 3 | — | 2025 |
| Brian Beach | 3 | — | 2025 |
| Carl Meadows | 3 | — | 2025 |
| Chad Schmutzer | 3 | — | 2025 |
| Colm MacCárthaigh | 3 | — | 2025 |
| Damon LaCaille | 3 | — | 2025 |
| David Yanacek | 3 | — | 2025 |
| Deepak Singh | 3 | — | 2025 |
| Dirk Fröhner | 3 | — | 2025 |
| Eric Johnson | 3 | — | 2025 |
| Everett Dolgner | 3 | — | 2025 |
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.