Data Conference Databasea Query.Farm index
Speakers

Ramon Perez

Employers on the program

  1. 2025Menlo Labs1 talk
  2. 2023Seldon3 talks
  3. 2023Decoded1 talk
Events6
Conferences3
Talks7
Years active2022–2025
Miles between events20,9376 in-person events · 4 countries

Appearances by year

201920202021202220232024202520262027
  • PyCon (national Python conferences)
  • PyData
  • MLOps World (Machine Learning in Production)

Talks

DateEventConferenceRoleTitleLinks
Sep 12, 2025PyCon AU 2025PyCon (national Python conferences)talkBuilding with Multiple Languages: A Python-First Approach
as Menlo Labs
Python is slow for certain tasks. That's not news. The usual response is to either accept the performance hit or rewrite everything in another language. There's…Show less

Python is slow for certain tasks. That's not news. The usual response is to either accept the performance hit or rewrite everything in another language. There's a third option: use Python as the control centre and delegate specific tasks to languages that excel at them. This talk provides...

Video
Nov 11, 2023PyCon Ireland 2023PyCon (national Python conferences)talkArchitecting Dashboards: A hacky and yet practical guide for sharing insights
Providing effective insights based on data can be gratifying and challenging at the same time. Doing so correctly can feel as if we were detectives lining up…Show less

Providing effective insights based on data can be gratifying and challenging at the same time. Doing so correctly can feel as if we were detectives lining up the facts after all of the evidence has been thoroughly evaluated. This workshop aims to help programmers of various backgrounds and...

Nov 1, 2023PyData NYC 2023PyDataspeakerArchitecting Data: A Deep Dive Into the world of Synthetic Data
as Seldon
Finding good datasets or web assets to build data products or websites with, respectively, can be time-consuming. For instance, data professionals might require…Show less

Finding good datasets or web assets to build data products or websites with, respectively, can be time-consuming. For instance, data professionals might require data from heavily regulated industries like healthcare and finance, and, in contrast, software developers might want to skip the tedious...

Video
Nov 1, 2023PyData NYC 2023PyDataspeakerArtificial Rhythms: The Merger of Machine Learning, Music and Programming
as Seldon
From music composition with code to style transfer and music generation with machine learning (ML), the intersection of music, programming, and ML is opening up…Show less

From music composition with code to style transfer and music generation with machine learning (ML), the intersection of music, programming, and ML is opening up exciting avenues for innovation and creativity.

Video
Oct 25, 20234th Annual MLOps World Conference & Expo 2023MLOps World (Machine Learning in Production)workshop (virtual)Introduction to Building ML Microservices: A Hands-On Approach with Examples from The Music Industry
as Seldon
Sep 14, 2023PyData Amsterdam 2023PyDatatutorialUnlocking the Black Box: A practical guide to finding an alibi for machine learning models
as Decoded
Knowledge work is undergoing a transformative journey with machine learning (ML) but the interpretability of the models we interact with is still lagging behind…Show less

Knowledge work is undergoing a transformative journey with machine learning (ML) but the interpretability of the models we interact with is still lagging behind the coolness and hype of the technologies using ML.

Nov 12, 2022PyCon Ireland 2022PyCon (national Python conferences)talkGetting Started with Feature Stores
As machine learning-powered applications become more ubiquitous, so do the tools we create and use to optimize development time and collaboration across teams.…Show less

As machine learning-powered applications become more ubiquitous, so do the tools we create and use to optimize development time and collaboration across teams. One such tool that has gained popularity in recent years is the feature store as its adoption helps solve pressing issues at the...

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Allyn Hunt2—2023
Cheuk Ting Ho2—2023
Fabio Buso2—2023
Florian Jacta2—2023
Ines Montani2—2023
James Powell2—2023
Krishi Sharma2—2023
Liliya Akhtyamova2—2023
Ritchie Vink2—2023

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.