Data Conference Databasea Query.Farm index
Speakers

Burak Gozluklu

Employers on the program

  1. 2024–2025Amazon Web Services3 talks
Events2
Conferences1
Talks3
Years active2024–2025
Talk freshness1003 different talks in 3 · 1 circuit, 24 months

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.

JanFebMarAprMayJunJulAugSepOctNovDecAWS re:InventAWS re:Invent
Held in the past 12 months Next 12 months Today, Nov 10, 2026

Appearances by year

201920202021202220232024202520262027
  • AWS re:Invent

Talks

DateEventConferenceRoleTitleLinks
Dec 1, 2025AWS re:Invent 2025AWS re:Inventchalk talkRevolutionize shopping: Inside Amazon's AI-powered 'Buy for Me' experience
as Amazon Web Services
Join this interactive session where we'll dive deep into the architecture of "Buy for Me," Amazon's autonomous shopping AI agent. Using whiteboard diagrams and…Show less

Join this interactive session where we'll dive deep into the architecture of "Buy for Me," Amazon's autonomous shopping AI agent. Using whiteboard diagrams and real-world examples, we'll explore how we built and deployed this customer-facing solution using Amazon Bedrock, Titan, and Claude models.

Dec 2, 2024AWS re:Invent 2024AWS re:InventbreakoutGenerative AI for millions: Amazon's Rufus and review highlights
as Amazon Web Services
This session explores two Amazon.com generative AI solutions: Rufus, a real-time shopping assistant, and review highlights, which summarizes customer reviews…Show less

This session explores two Amazon.com generative AI solutions: Rufus, a real-time shopping assistant, and review highlights, which summarizes customer reviews offline. The Amazon teams behind these solutions share strategies for using generative AI at scale, addressing unique challenges, and meeting customer needs.

Video
Dec 2, 2024AWS re:Invent 2024AWS re:Inventbuilders sessionKeeping it small: Agentic workflows with SLMs on AWS Inferentia [REPEAT]
as Amazon Web Services

While large language models (LLMs) offer versatility, smaller language models (SLMs) provide resource efficiency, speed, and simplicity.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Miriam Elyse Lebowitz212025
Pinak Panigrahi212025
Yunfei Bai212025
Aaron Chen2—2025
Aaron Dailey2—2025
Aaron Sempf2—2025
Aarthi Raju2—2025
Abbas Mooraj2—2025
Abhi Khanna2—2025
Abhi Shivaditya2—2025
Abhijeet Jangam2—2025
Abhilash Nagilla2—2025
Abhishek Pandey2—2025
Abhishek Sharma2—2025
Abhishek Srivastav2—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.