Sanjeev Ganjihal
Employers on the program
- 2024–2025Amazon Web Services4 talks
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
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Build an adaptive compute grid with Amazon ECS and AWS Lambda as Amazon Web Services In this talk, we will delve into the intricacies of building a compute grid using Amazon ECS. We'll explore how to create a scalable, efficient, and flexible…Show lessIn this talk, we will delve into the intricacies of building a compute grid using Amazon ECS. We'll explore how to create a scalable, efficient, and flexible infrastructure capable of handling the demanding yet spiky workloads . | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Build secure and scalable agentic AI workflows on Amazon ECS as Amazon Web Services Ever wondered how to take your AI agents from experimental notebooks to production? Join us to discover how Amazon ECS and AWS Fargate can transform autonomous…Show lessEver wondered how to take your AI agents from experimental notebooks to production? Join us to discover how Amazon ECS and AWS Fargate can transform autonomous AI workflows into resilient, production-grade applications. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | workshop | Generative AI with Data on Amazon EKS (DoEKS) as Amazon Web Services Some of the most innovative AWS customers are using Amazon EKS to train, fine-tune, and serve cutting-edge generative AI models. In this workshop, learn how to…Show lessSome of the most innovative AWS customers are using Amazon EKS to train, fine-tune, and serve cutting-edge generative AI models. In this workshop, learn how to serve fine-tuned models with vLLM and Ray Serve for a high-performance solution and be cost effective with Karpenter for right-sized accelerated compute. | |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | High-performance LLM inference scaling on Amazon EKS as Amazon Web Services Unlock the full potential of large language model (LLM) inference on Amazon EKS using leading open source frameworks. Learn to construct highly scalable,…Show lessUnlock the full potential of large language model (LLM) inference on Amazon EKS using leading open source frameworks. Learn to construct highly scalable, GPU-accelerated clusters with Amazon EKS–optimized AMIs and NVIDIA CUDA runtimes. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Apoorva Kulkarni | 2 | 2 | 2025 |
| Aaron Chen | 2 | — | 2025 |
| Aaron Dailey | 2 | — | 2025 |
| Aaron Sempf | 2 | — | 2025 |
| Aarthi Raju | 2 | — | 2025 |
| Abbas Mooraj | 2 | — | 2025 |
| Abhi Khanna | 2 | — | 2025 |
| Abhi Shivaditya | 2 | — | 2025 |
| Abhijeet Jangam | 2 | — | 2025 |
| Abhilash Nagilla | 2 | — | 2025 |
| Abhishek Pandey | 2 | — | 2025 |
| Abhishek Sharma | 2 | — | 2025 |
| Abhishek Srivastav | 2 | — | 2025 |
| Abilashkumar P C | 2 | — | 2025 |
| Adam Hensley | 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.