Alket Memushaj
Employers on the program
- 2019–2026Amazon Web Services5 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
- STAC Summit
- World Financial Information Conference (WFIC)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 30, 2026 | AWS re:Invent 2026 | AWS re:Invent | builders session | Talk to your market data: Agentic AI meets exchange feeds as AWS In this builders’ session, connect an Amazon Bedrock agent layer to a high-performance data pipeline that turns 560M IEX exchange messages into an interactive…Show lessIn this builders’ session, connect an Amazon Bedrock agent layer to a high-performance data pipeline that turns 560M IEX exchange messages into an interactive playground. | |
| Sep 15, 2024 | WFIC 2024 | World Financial Information Conference (WFIC) | speaker | Modernizing the Trade Lifecycle with AWS: How Cloud-Based Data is Reinventing Pre-Trade, Trade, and Post-Trade Workflows as AWS | |
| Oct 19, 2022 | STAC Summit New York, Fall 2022 | STAC Summit | speaker | STAC-A2 Benchmark Results in AWS as Amazon | |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Shift record retention from obligation to advantage as AWS Financial institutions need modern ways to ingest, process, store, and retrieve records while pursuing compliance with record-keeping regulations. In this chalk…Show lessFinancial institutions need modern ways to ingest, process, store, and retrieve records while pursuing compliance with record-keeping regulations. In this chalk talk, see how to transform a costly on-premises record retention program into a strategic advantage. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | builders session | Real-time stream processing in Financial Services as Amazon Web Services Data streams and stream processing have many applications in Financial Services. In this session, we build a serverless trade monitoring application that…Show lessData streams and stream processing have many applications in Financial Services. In this session, we build a serverless trade monitoring application that utilizes real-time stream processing with additional reporting from historical trade information. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Russell Lewis | 3 | 1 | 2026 |
| Ali Saidi | 3 | — | 2026 |
| Amit Kumar | 3 | — | 2026 |
| Andrew Baird | 3 | — | 2026 |
| Andrew Crudge | 3 | — | 2026 |
| Andrew Krug | 3 | — | 2026 |
| Andy Reedy | 3 | — | 2026 |
| Arthur Petitpierre | 3 | — | 2026 |
| Avni Rambhia | 3 | — | 2026 |
| Ben Smith | 3 | — | 2026 |
| Brian Beach | 3 | — | 2026 |
| Carlos Manzanedo Rueda | 3 | — | 2026 |
| Christian Elsen | 3 | — | 2026 |
| Colm MacCárthaigh | 3 | — | 2026 |
| Daniele Stroppa | 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.