Data Conference Databasea Query.Farm index
Speakers

Meryem Arik

Employers on the program

  1. 2024–2026Doubleword8 talks
  2. 2024TitanML1 talk
Events9
Conferences3
Talks91 keynote
Years active2024–2026
Talk freshness926 different talks in 6 · 2 circuits, 24 monthsMiles between events20,0439 in-person events · 3 countries

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.

JanFebMarAprMayJunJulAugSepOctNovDecQConQConData CouncilData Council
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • QCon
  • Data Council
  • dotAI

Talks

DateEventConferenceRoleTitleLinks
Dec 15, 2026QCon AI New York 2026QConspeakerThe Software Factory: How a Swarm of Open Models Can Out-Code the Frontier
as Doubleword
Jun 1, 2026QCon AI Boston 2026QConkeynoteA Few Predicted Talks From QConAI 2030
as Doubleword AI
May 12, 2026AI Council 2026Data CounciltalkInference for Async Agents in Production GenAI & agents
as Doubleword
Mar 16, 2026QCon London 2026QConspeakerAsync Agents in Production: Failure Modes and Fixes
as Doubleword
As models improve, we are starting to build long-running, asynchronous agents such as deep research agents and browser agents that can execute multi-step…Show less

As models improve, we are starting to build long-running, asynchronous agents such as deep research agents and browser agents that can execute multi-step workflows autonomously. These systems unlock new use cases, but they fail in ways that short-lived agents do not.

Dec 16, 2025QCon AI New York 2025QConspeakerThe AI Gateway: Scaling Centralized Inference Across Decentralized Teams
as Doubleword AI
As enterprises adopt AI, one tension has become clear: inference needs to be centralized for efficiency, governance, and reliability, while use cases and model…Show less

As enterprises adopt AI, one tension has become clear: inference needs to be centralized for efficiency, governance, and reliability, while use cases and model development are necessarily decentralized across teams.

Nov 17, 2025QCon San Francisco 2025QConspeakerProducing the World's Cheapest Tokens: A How-to Guide
as Doubleword
AI inference is expensive, but it doesn’t have to be. In this talk, we’ll break down how to systematically drive down the cost per token across different types…Show less

AI inference is expensive, but it doesn’t have to be. In this talk, we’ll break down how to systematically drive down the cost per token across different types of AI workloads.

Nov 18, 2024QCon San Francisco 2024QConspeakerNavigating LLM Deployment: Tips, Tricks, and Techniques
as Doubleword

Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defense.

Oct 17, 2024dotAI 2024dotAIspeakerGetting LLMs to do what you want: Output Controllers
as TitanML
Apr 8, 2024QCon London 2024QConspeakerNavigating LLM Deployment: Tips, Tricks, and Techniques
as Doubleword

Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defence.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Karthik Ramgopal3—2026
Viren Baraiya3—2026
Dan Fike3—2025
Shawna Martell3—2025
Tyler Jewell3—2025
Amit Navindgi2—2026
Brandon Waselnuk2—2026
Cassie Shum2—2026
Felipe Huici2—2026
Hannah Foxwell2—2026
Holly Cummins2—2026
Jatin Aneja2—2026
Kasia Trapszo2—2026
Khawaja Shams2—2026
Lizzie Matusov2—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.