Rubert Martín Pardo
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Rubert Martín Pardo Email & Phone Number

ML Platform Engineer at SymphonyAI
Location: Montreal, Quebec, Canada 12 work roles 3 schools
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Current company
Role
ML Platform Engineer
Location
Montreal, Quebec, Canada
Company size

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Rubert Martín Pardo is listed as ML Platform Engineer at SymphonyAI, a company with 2062 employees, based in Montreal, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Rubert Martín Pardo.

Rubert Martín Pardo previously worked as ML Engineer at Symphonyai and Senior Machine Learning Engineer at Talent.Com. Rubert Martín Pardo holds Doctor Of Philosophy - Phd, Engineering from Mcgill University.

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SymphonyAI

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Profile bio

About Rubert Martín Pardo

portfolio: https://rgmartin.github.io/I am deeply passionate about crafting production-ready machine learning models that solve complex business and academic challenges, where traditional approaches fall short. Putting together all the "magic" that happens between the moment an ML model is asked to "predict" and the moment a fast and accurate "prediction" is delivered has consumed most of my last professional years.It all started during my doctoral studies, where I sought to replicate fluid dynamics experimental results using methods more cost-effective than a Fluids Lab. I found the solution in a simple Support Vector Machine. These encouraging results sparked my interest in the whole ML field. Over the past five years, I've immersed myself in every facet of the modern data and ML landscape, wearing hats as a data scientist, ML developer/engineer, and ML operations developer.It all started when I tried to replicate fluid dynamics experimental results during my Doctoral studies with something that described the same physical phenomena but without the complexity and expenses of a fluids laboratory. I found the solution in a simple Support Vector Machine. These encouraging results sparked my interest in the whole ML field, and the last five years I've had the chance to work in all the roles of the modern Data/ML stack, encompassing Data Scientist, ML Developer/Engineer, and ML Operations Developer.Prior to venturing into the ML/Data landscape, I worked as a Nuclear Engineer and a Fluid Dynamicist for over six years. I did also undergrad studies in Physics and was part of the exiting world of International Physics Olympiads, both as a competitor and later as an instructor. This diverse background equips me with a holistic perspective and a unique skill set that I'm eager to bring to the table, delivering innovative and impactful solutions in the world of Machine Learning.

Listed skills include Nuclear Engineering, Fluid Dynamics, Programming, Simulations, and 10 others.

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SymphonyAI
Symphonyai
ML Platform Engineer
Montreal, QC, CA
Website
Employees
2062
AeroLeads page
12 roles

Rubert Martín Pardo work experience

A career timeline built from the work history available for this profile.

Ml Platform Engineer

Montreal, QC, CA

Ml Engineer

Current

Montreal, Quebec, Canada

Sep 2024 - Present

Senior Machine Learning Engineer

Montreal, Quebec, Canada

As a Sr ML Engineer, my duties extended to the the operational side of deploying ML models.Key responsibilities:- Design and test vector search service using bi-encoders and cross-encoders for retrieval and reranking phases. Improves job matching using semantic search.- Develop APIs for our Machine Learning models to serve requests coming from both.

Jan 2024 - Sep 2024

Machine Learning Engineer

Montreal, Quebec, Canada

  • Natural Language Processing Specialist. Machine Learning Engineer. § Developed Named Entity Recognition (NER) models that help detect key data such as 'occupation' and 'company name' from job ads and job titles for.
Oct 2022 - Jan 2024

Researcher Engineering

Montreal, Quebec, Canada

Thesis: Fluid dynamics of liquid surface instabilities.- Developed an analytical model that predicts jetting onset on impulsive flows around submerged structures.- Conducted novel experiments to validate the analytical model. Obtained prediction accuracies above 95%.- Developed machine learning and edge detection algorithms for analysis and classification.

Jan 2019 - Dec 2022

Teaching Asistant

Montréal, Canada

FACC 400 Engineering ethics- Organiced and delivered tutorials, evaluations and surveys for a class of 300+ students each semester.- Case studies on Nuclear Engineering, Cryptocurrency, Artificial Inteligence, among others.

Aug 2019 - Oct 2022

Data Scientist

Montreal, Quebec, Canada

- Advanced the analysis of data and prediction of trends for a dataset for the organisation Maisson des Femmes.- Collaborated with a multidisciplinary team to provide solutions and decision-making for NGOs.

Jan 2021 - Aug 2021

Physics Olympiads Instructor

Montreal, Canada Area

- Organized and taught at the McGill Physics Olympiad Program (https://physicsmatters.physics.mcgill.ca/mpop/)- Trained highly motivated high-school CEGEP students to particiapte in Physics Olympiads at the national and international level: Sir Isaac Newton Physics Olympiad, Canadian Physics Olympiad, International Physics Olympiad.

May 2019 - Jul 2020

Research Assistant

Burnaby, British Columbia, Canada

- Development of diagnostic tools to detect surface instabilities in the interior of a fusion reactor.- Development of experimental and numerical methods to describe liquid instabilities when pushed through a mesh.- Analysis of Taylor-Couette flow and torque scaling in a liquid rotating apparatus.

May 2019 - Jul 2019

Nuclear Engineer

Argentina

- Contributed to the development of a real-time nuclear reactor simulator.- Utilized parallel-programming techniques to optimise the temporal response of the simulator.- Extended the simulator to multigroup energetics of the neutronics of the reactor.

Aug 2017 - Aug 2018

Nuclear Engineer

Río Negro Province, Argentina

- Coupled a thermal-hydraulic code (RELAP) to a neutronic code (PUMITA).- Quantified the thermal coefficient of Saudi Arabia nuclear reactor designed by INVAP.

Sep 2016 - Jul 2017
Team & coworkers

Colleagues at SymphonyAI

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3 education records

Rubert Martín Pardo education

Doctor Of Philosophy - Phd, Engineering

Thesis: Prediction and classification of fluid instabilities and jetting onset. Relevant courses (grade): - Fundamentals of Deep Learning.

Master'S Degree, Nuclear Engineering

Thesis: Improvement of a nuclear reactor real-time simulator for training of operators. Relevant courses: - Computational Fluid dynamics..

Bachelor'S Degree, Nuclear Engineering

Thesis: Neutronic-thermohydraulic coupling of nuclear reactor modelling codes. Relevant courses: - Numerical methods in engineering..

FAQ

Frequently asked questions about Rubert Martín Pardo

Quick answers generated from the profile data available on this page.

What company does Rubert Martín Pardo work for?

Rubert Martín Pardo works for SymphonyAI.

What is Rubert Martín Pardo's role at SymphonyAI?

Rubert Martín Pardo is listed as ML Platform Engineer at SymphonyAI.

Where is Rubert Martín Pardo based?

Rubert Martín Pardo is based in Montreal, Quebec, Canada while working with SymphonyAI.

What companies has Rubert Martín Pardo worked for?

Rubert Martín Pardo has worked for Symphonyai, Talent.Com, Mcgill University, Data 4 Good, Inc., and Mcgill Physics Olympiad Program.

Who are Rubert Martín Pardo's colleagues at SymphonyAI?

Rubert Martín Pardo's colleagues at SymphonyAI include Pawan Kumar, Adam Smoliński, Lali Singh, Clément Biou, and Prashanth Revuru.

How can I contact Rubert Martín Pardo?

You can use AeroLeads to view verified contact signals for Rubert Martín Pardo at SymphonyAI, including work email, phone, and LinkedIn data when available.

What schools did Rubert Martín Pardo attend?

Rubert Martín Pardo holds Doctor Of Philosophy - Phd, Engineering from Mcgill University.

What skills is Rubert Martín Pardo known for?

Rubert Martín Pardo is listed with skills including Nuclear Engineering, Fluid Dynamics, Programming, Simulations, Physics, Matlab, Reactor Design, and Reactor.

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