Staff Machine Learning Engineer
CurrentML solutions for Customer Experience specializing in conversations.
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@clarabridge.com
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3 phones found area 410 and 703
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LinkedIn matched
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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.
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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.
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A career timeline built from the work history available for this profile.
Provo, Ut And Seattle, Wa, Us
ML solutions for Customer Experience specializing in conversations.
Washington, Dc, Us
Teaching students the fundamentals of data analytics and visualization covering python, spark. Providing supportive tutoring services and mentoring students
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 augment a 3rd party proprietary service that classifies packaged products sold in stores. (Very Deep Convolutional Networksfor Text Classification https://arxiv.org/pdf/1606.01781.pdf)Previous Projects:o Deployed and managed Apache Big Data Ecosystem using Ambari (HDFS, YARN, spark, graphana, zeppelin)o Implemented a CI/CD pipeline to give granular insight into code changes in our NLP systems (jenkins, spark, scala, minio, jupyterhub, zeppelin, HDFS)o Assess the capabilities of state of the art NLP techniques to detect hate speechAddThis was recently acquired by the Oracle Data Cloud (ODC). ODC engineers are responsible for building products that touch millions of users world-wide. Our products are deployed on over 14M websites and are loaded over 3B times daily and provide analytics from billions of records in human-time.
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.
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.• Engineered hospital applications that maximized on potential revenue and decreased costs.
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
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.
College Park, Md, Us
Designed a height recognition system under Professor Chellappa in Biomotion Lab
Other employees you can reach at qualtrics.com. View company contacts →
Maura Mckee
Colleague at QualtricsChicago, Illinois, United States
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Jensen Smith
Colleague at QualtricsOrem, Utah, United States
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Lauren Stambaugh, Cpa
Colleague at QualtricsAmerican Fork, Utah, United States
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Alina R.
Colleague at QualtricsMexico City, Mexico
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Piyumi Chamathka
Colleague at QualtricsColombo District, Western Province, Sri Lanka
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Cami Fitzgerald
Colleague at QualtricsSalt Lake City Metropolitan Area, United States
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Justin Klopfer
Colleague at QualtricsSeattle, Washington, United States
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Jermaine Lim
Colleague at QualtricsSingapore
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K. Wade Hooton
Colleague at QualtricsProvo, Utah, United States
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Tommy Hammett
Colleague at QualtricsDallas, Texas, United States
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Quick answers generated from the profile data available on this page.
Leonardo Apolonio works for Qualtrics.
Leonardo Apolonio is listed as Staff Machine Learning Engineer @ Qualtrics | Conversational AI at Qualtrics.
AeroLeads has found 1 work email signal at @clarabridge.com for Leonardo Apolonio at Qualtrics.
AeroLeads has found 3 phone signal(s) with area code 410, 703 for Leonardo Apolonio at Qualtrics.
Leonardo Apolonio is based in Washington, District of Columbia, United States while working with Qualtrics.
Leonardo Apolonio has worked for Qualtrics, Clarabridge, The George Washington University - College Of Professional Studies, Oracle, and Defense Advanced Research Projects Agency (Darpa).
Leonardo Apolonio's colleagues at Qualtrics include Maura Mckee, Jensen Smith, Lauren Stambaugh, Cpa, Alina R., and Piyumi Chamathka.
You can use AeroLeads to view verified contact signals for Leonardo Apolonio at Qualtrics, including work email, phone, and LinkedIn data when available.
Leonardo Apolonio holds Ms In Computer Science, Computer Science from Georgia Institute Of Technology.
Leonardo Apolonio is listed with skills including R, Javascript, Python, Sql, Linux, Data Science, Apache Spark, and Amazon Web Services.
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