Himanshu Joshi
Employers on the program
- 2025Amazon Web Services1 talk
- 2025COHUMAIN Labs1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
- MLOps World (Machine Learning in Production)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Reclaiming Clinical Time: How Veradigm Uses AI to Transform Workflows as AWS Discover how Veradigm's Practice Fusion EHR leverages AWS' purpose-built Healthcare AI services—AWS HealthLake, AWS HealthScribe, and Amazon Bedrock—to reduce…Show lessDiscover how Veradigm's Practice Fusion EHR leverages AWS' purpose-built Healthcare AI services—AWS HealthLake, AWS HealthScribe, and Amazon Bedrock—to reduce administrative burden and reclaim valuable clinical time. | Video |
| Oct 8, 2025 | 6th Annual MLOps World | GenAI Summit 2025 | MLOps World (Machine Learning in Production) | lightning | The Iteration Trap: Why Gen AI Code Refinements Could Be Silently Undermining Your Security? as COHUMAIN Labs Large Language Models (LLMs) such as GPT-4 and Copilot are reshaping software development, with over 80% of developers now relying on AI assistance to generate…Show lessLarge Language Models (LLMs) such as GPT-4 and Copilot are reshaping software development, with over 80% of developers now relying on AI assistance to generate and refine code. While these tools promise unprecedented productivity, their security implications remain underexplored, especially when code evolves through iterative AI feedback loops. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | AI-powered patient 360 experiences using AWS HealthLakeBringing together a patient’s data that is scattered across thousands of structured and unstructured data points in various clinical, genomics, and imaging…Show lessBringing together a patient’s data that is scattered across thousands of structured and unstructured data points in various clinical, genomics, and imaging systems is challenging yet critical for delivering enhanced outcomes during points of care. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| MIRZA BAIG | 2 | 2 | 2025 |
| Aalhad Kulkarni | 2 | — | 2025 |
| Aaron Chen | 2 | — | 2025 |
| Aaron Dailey | 2 | — | 2025 |
| Aaron Sempf | 2 | — | 2025 |
| Aarthi Srinivasan | 2 | — | 2025 |
| Abbas Mooraj | 2 | — | 2025 |
| Abhishek Pandey | 2 | — | 2025 |
| Abhishek Sharma | 2 | — | 2025 |
| Abhishek Srivastav | 2 | — | 2025 |
| Achal Kumar | 2 | — | 2025 |
| Adam Driver | 2 | — | 2025 |
| Adam Hill | 2 | — | 2025 |
| Adam Hood | 2 | — | 2025 |
| Addy Upreti | 2 | — | 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.