Leonardo Apolonio
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Leonardo Apolonio Email & Phone Number

Staff Machine Learning Engineer @ Qualtrics | Conversational AI at Qualtrics
Location: Washington, District Of Columbia, United States 9 work roles 3 schools
1 work email found @clarabridge.com 3 phones found area 410 and 703 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email l****@clarabridge.com
Direct phone (410) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Machine Learning Engineer @ Qualtrics | Conversational AI
Location
Washington, District Of Columbia, United States

Who is Leonardo Apolonio? Overview

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Quick answer

Leonardo Apolonio is listed as Staff Machine Learning Engineer @ Qualtrics | Conversational AI at Qualtrics, based in Washington, District Of Columbia, United States. AeroLeads shows a work email signal at clarabridge.com, phone signal with area code 410, 703, and a matched LinkedIn profile for Leonardo Apolonio.

Leonardo Apolonio previously worked as Staff Machine Learning Engineer at Qualtrics and Applied Research Engineer at Clarabridge. Leonardo Apolonio holds Ms In Computer Science, Computer Science from Georgia Institute Of Technology.

Company email context

Email format at Qualtrics

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{first}.{last}@clarabridge.com
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AeroLeads found 1 current-domain work email signal for Leonardo Apolonio. Compare company email patterns before reaching out.

Profile bio

About Leonardo Apolonio

As a Staff Machine Learning Engineer at Qualtrics, I apply over 10 years of experience in developing and deploying Analytics and ML solutions for customer experience, specializing in conversations. I have a strong background in natural language processing, self-supervised learning, transfer learning, and explainability, as well as proficiency in Python, Spark, and large language models.My passion is to leverage the power of data and AI to create impactful and innovative products that enhance the quality of human interactions and decision-making. I enjoy collaborating with diverse teams of engineers, researchers, and product managers to deliver scalable and high-performance solutions that address complex business problems and customer needs. I am always eager to learn new skills, explore new domains, and share my insights and knowledge with others.

Listed skills include R, Javascript, Python, Sql, and 50 others.

Current workplace

Leonardo Apolonio's current company

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Qualtrics
Qualtrics
Staff Machine Learning Engineer @ Qualtrics | Conversational AI
Website
AeroLeads page
9 roles

Leonardo Apolonio work experience

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

Staff Machine Learning Engineer

Current

Provo, UT And Seattle, WA, US

ML solutions for Customer Experience specializing in conversations.

Oct 2021 - Present

Applied Research Engineer

Clarabridge
Mar 2019 - Sep 2021

Principal Machine Learning Engineer, Oracle Data Cloud

Austin, Texas, US

Working on Oracle Data Cloud platform team, processing the AddThis network, adding meta-data allowing for detailed rich audience creation. Focusing on using NLP techniques to extract rich meta data from web pages at scale, tackling (NER) named entity recognition and topic classification.Current Project:o Use convolutional neural networks to replace and.

Nov 2017 - Mar 2019

Senior Data Scientist / Research Engineer

Arlington, VA, US

  • Conducted investigations to discover new approaches for uncovering anomalies in network data using deep learning.
  • Spearheaded and managed transparent tracking of improvements to periodic analytics for each sprint in JIRA.
  • Collaborated with ETL engineers, big data engineers, data scientists, and domain professionals in order to successfully define systematic approaches and develop algorithms.
  • Streamlined the process of recording performance for Recurrent Neural Networks through collaboration with development and implementation team.
  • Generated deep dive analysis in order to understand the implications of assessing relevant information to be presented to the data provider.
  • Analyzed and sorted out irregularities within datasets containing billions of events.
Jun 2016 - Nov 2017

Senior Data Science Engineer And Agile Development Manager

Washington, District Of Columbia, US

  • Built model creation framework for the data science team to allow for increased efficiency and performance in incorporation of domain knowledge.
  • Constructed data pipelines and performed analysis in Zeppelin for research projects.
  • Responsible for Agile development of data visualizations as well as model validation and comparison.
  • Collaborated with product management and development management teams in order to advance business objectives within the stated timeframe.
  • Developed applications from concept to beta release within 8 months.
  • Executed maintenance and uptime for production availability for 150 models.
Feb 2015 - Jun 2016

Full Stack Engineer

Washington, District Of Columbia, US

  • Built applications for hospitals that enabled them to maximize their revenue and minimize cost
  • Worked with Product Management and Development Management to deliver the most business value in the specified timeframe
Feb 2013 - Feb 2015

Senior It Consultant

Armonk, New York, NY, US

  • Increased performance of grants management system using Rational Performance Tester and diagnosing performance issues.
  • Reconstructed database queries to reflect custom workflow framework migrations.
  • Utilized JavaScript to incorporate a CRU processes within mobile applications in SQLite.
  • Implemented web services in order to allow for an exchange of information within mobile devices and the application server.
  • Ensured data integrity amongst system and mobile applications according to organizational needs and objectives.
Jul 2010 - Feb 2013

Computer Vision Researcher

College Park, MD, US

Designed a height recognition system under Professor Chellappa in Biomotion Lab

Sep 2009 - May 2010
Team & coworkers

Colleagues at Qualtrics

Other employees you can reach at qualtrics.com. View company contacts →

3 education records

Leonardo Apolonio education

Ms In Computer Science, Computer Science

Georgia Institute Of Technology

B.S., Computer Engineering

University Of Maryland - A. James Clark School Of Engineering

High School Diploma

Baltimore Polytechnic Institute
FAQ

Frequently asked questions about Leonardo Apolonio

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

What company does Leonardo Apolonio work for?

Leonardo Apolonio works for Qualtrics.

What is Leonardo Apolonio's role at Qualtrics?

Leonardo Apolonio is listed as Staff Machine Learning Engineer @ Qualtrics | Conversational AI at Qualtrics.

What is Leonardo Apolonio's email address?

AeroLeads has found 1 work email signal at @clarabridge.com for Leonardo Apolonio at Qualtrics.

What is Leonardo Apolonio's phone number?

AeroLeads has found 3 phone signal(s) with area code 410, 703 for Leonardo Apolonio at Qualtrics.

Where is Leonardo Apolonio based?

Leonardo Apolonio is based in Washington, District Of Columbia, United States while working with Qualtrics.

What companies has Leonardo Apolonio worked for?

Leonardo Apolonio has worked for Qualtrics, Clarabridge, The George Washington University - College Of Professional Studies, Oracle, and Defense Advanced Research Projects Agency (Darpa).

Who are Leonardo Apolonio's colleagues at Qualtrics?

Leonardo Apolonio's colleagues at Qualtrics include Michael Jordan, Bryan D'Ottavi, Amy Wu, Chris Keneipp, and Evan Child.

How can I contact Leonardo Apolonio?

You can use AeroLeads to view verified contact signals for Leonardo Apolonio at Qualtrics, including work email, phone, and LinkedIn data when available.

What schools did Leonardo Apolonio attend?

Leonardo Apolonio holds Ms In Computer Science, Computer Science from Georgia Institute Of Technology.

What skills is Leonardo Apolonio known for?

Leonardo Apolonio is listed with skills including R, Javascript, Python, Sql, Linux, Data Science, Apache Spark, and Amazon Web Services.

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