Data Conference Databasea Query.Farm index
Speakers

Praveen Mohan Prasad

Employers on the program

  1. 2024–2025Amazon Web Services5 talks
Events5
Conferences3
Talks5
Years active2024–2025
Miles between events9,8405 in-person events · 2 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.

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
  • Haystack
  • Berlin Buzzwords

Talks

DateEventConferenceRoleTitleLinks
Dec 1, 2025AWS re:Invent 2025AWS re:Inventchalk talkOptimizing Apache Spark workloads with AWS Analytics [REPEAT]
as AWS
In this session, we’ll share best practices and guidance for building high-performing Spark applications using AWS Analytics data processing services such as…Show less

In this session, we’ll share best practices and guidance for building high-performing Spark applications using AWS Analytics data processing services such as Amazon EMR, Amazon Athena, and AWS Glue. Learn how to run Apache Spark at scale using the flexible data processing options provided by AWS.

Dec 2, 2024AWS re:Invent 2024AWS re:Inventchalk talkBuild multi-tenant data processing architectures
as Amazon
Building data processing architectures for multi-tenancy while ensuring low latency, governed access, data integrity, and data observability substantially…Show less

Building data processing architectures for multi-tenancy while ensuring low latency, governed access, data integrity, and data observability substantially increases the challenges and complexities of the architecture.

Sep 30, 2024Haystack EU 2024HaystackspeakerUnlock NextGen Product Search with ML and LLM Innovations
as Amazon
In the realm of search, Machine Learning plays a pivotal role in enhancing the user experience throughout the entire lifecycle, from ingesting documents to…Show less

In the realm of search, Machine Learning plays a pivotal role in enhancing the user experience throughout the entire lifecycle, from ingesting documents to delivering highly relevant results for user queries. This session will showcase various ML integrations tailored to optimize outcomes for user queries in a retail scenario, accompanied by a live demonstration.

SlidesVideo
Jun 9, 2024Berlin Buzzwords 2024Berlin BuzzwordstalkRediscover your keyword search: Expand, Enrich and Rewrite
as Amazon

Dense Vector Search is not the only route to improve your search relevance.

SlidesVideo
Apr 23, 2024Haystack US 2024HaystackspeakerExpanding RAG to incorporate multimodal capabilities.
as Amazon
RAG workflows predominantly rely on retrieved text sources, as most Language Models (LLMs) are proficient in understanding only language. However, a substantial…Show less

RAG workflows predominantly rely on retrieved text sources, as most Language Models (LLMs) are proficient in understanding only language. However, a substantial portion of unstructured data contains multimodal elements such as text, tables, and images.

SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Hajer Bouafif532025
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
Abilashkumar P C2—2025
Adam Hensley2—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.