Data Conference Databasea Query.Farm index
Speakers

Sharlina Keshava

Employers on the program

  1. 2019–2026Amazon Web Services4 talks
Events3
Conferences1
Talks4
Years active2019–2026

Upcoming appearances

Who’s booked ahead? →

Event dates shown; only events starting today or later count. 1 upcoming event.

  1. AWS re:Invent 2026 – · Las Vegas, United States
    • Customer paths to production grade domain-specific AI with Forge breakout Program source ↗

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
Nov 30, 2026AWS re:Invent 2026AWS re:InventbreakoutCustomer paths to production grade domain-specific AI with Forge
as Amazon Web Services
Domain-specific AI delivers accuracy that is difficult for general models to match. In this session, see how real customers use Amazon Nova Forge to accelerate…Show less

Domain-specific AI delivers accuracy that is difficult for general models to match. In this session, see how real customers use Amazon Nova Forge to accelerate the path from idea to production..

Dec 1, 2025AWS re:Invent 2025AWS re:Inventchalk talkAutomating LLM fine-tuning with multi-agentic orchestration [REPEAT]
as Amazon Web Services
Domain-specific LLM fine-tuning traditionally demands extensive manual effort. This session explores an innovative multi-agent system built on AWS that…Show less

Domain-specific LLM fine-tuning traditionally demands extensive manual effort. This session explores an innovative multi-agent system built on AWS that continuously improves model performance with minimal human intervention.

Dec 1, 2025AWS re:Invent 2025AWS re:InventbreakoutFine-tuning LLMs for Multi-Agent Orchestration: Cosine AI Case Study
as Amazon Web Services
Multi-agent AI systems are becoming essential for multi-step production applications, but require specialized models that are small, fast, and cost-effective.…Show less

Multi-agent AI systems are becoming essential for multi-step production applications, but require specialized models that are small, fast, and cost-effective. This session explores fine-tuning, knowledge distillation, and preference alignment techniques to reduce latency and costs while maintaining performance.

Video
Dec 2, 2019AWS re:Invent 2019AWS re:Inventchalk talkAiding natural-disaster responses with Amazon SageMaker and Amazon Comprehend
as Amazon Web Services
The first hour after a natural disaster is often referred to as the “golden hour," when responders have the highest chance of saving the lives of those effected…Show less

The first hour after a natural disaster is often referred to as the “golden hour," when responders have the highest chance of saving the lives of those effected by the disaster—but it's also when they have least amount of information available to them. In this chalk talk, we walk through different ways machine learning can help accelerate a responder’s understanding of the areas impacted and...

Slides

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ali Saidi3—2026
Amit Kumar3—2026
Andrew Baird3—2026
Andrew Crudge3—2026
Andrew Krug3—2026
Andy Reedy3—2026
Andy Warfield3—2026
Anuj Dewangan3—2026
Arthur Petitpierre3—2026
Artur Rodrigues3—2026
Avni Rambhia3—2026
Brian Beach3—2026
Carlos Manzanedo Rueda3—2026
Chad Schmutzer3—2026
Christian Elsen3—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.