Sr. Machine Learning Engineer
Current
Mar 2024 - Present
AeroLeads people directory · profile
Dylan Morgan Email & Phone Number
Machine Learning / Data Science
at
Acqueon
1 work email found
@calabrio.com
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Machine Learning / Data Science
Location
Portland, Oregon, United States
Who is Dylan Morgan? Overview
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Quick answer
Dylan Morgan is listed as Machine Learning / Data Science at Acqueon, based in Portland, Oregon, United States. AeroLeads shows a work email signal at calabrio.com and a matched LinkedIn profile for Dylan Morgan.
Dylan Morgan previously worked as Sr. Machine Learning Engineer at Acqueon and Senior Data Architect at Truve.Ai. Dylan Morgan holds Doctor Of Philosophy (Ph.D.), Astrophysics from Boston University.
Company email context
Email format at Acqueon
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{first}.{last}@calabrio.com
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AeroLeads found 1 current-domain work email signal for Dylan Morgan. Compare company email patterns before reaching out.
Profile bio
About Dylan Morgan
🚀 Machine Learning Enthusiast | AI Researcher | Data Science Explorer 📊Passionate about leveraging data-driven insights to create innovative solutions and drive decision-making. 📈 Aspiring machine learning professional with a strong foundation in algorithm development, statistical analysis, and predictive modeling. 🤖🔬 Currently exploring advanced techniques in deep learning and natural language processing to unlock the true potential of AI. 🌐 Excited about the intersection of technology and humanity, striving to develop ethical AI solutions that positively impact society. 🌍
Listed skills include Data Management, Data Analysis, Data Visualization, Public Speaking, and 14 others.
Current workplace
Dylan Morgan's current company
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9 roles · 16 years
Dylan Morgan work experience
A career timeline built from the work history available for this profile.
Senior Data Architect
Truve.Ai
Oct 2023 - Nov 2023
Senior Machine Learning Engineer
➤ Optimized an existing legacy production feature, boosting prediction accuracy by 50% and reducing training time by up to 100x. Incorporated a comprehensive test suite using python's pytest and unittest libraries ➤ Created an NLP tool for sensitive information sanitization in call center dialogues. Automate deployment via an asynchronous SageMaker.
Jan 2021 - Aug 2023
Machine Learning Engineer
➤ Trained a neural network (CNN) to encode speech to vectors for automatically identifying when an agent is speaking during a call. ➤ Developed an algorithm to separate mono-channel audio into two speaker homogenous channels -- outperforming third party vendors being explored by Calabrio ➤ Designed production machine learning deployment architecture using.
Nov 2016 - Jan 2021
Graduate Research Fellow
Expert on close stellar binary systems and the generation of magnetic fields in stars and their effects any attending exoplanets. ➤ Experience in handling large data sets, used SQL queries to isolate ∼ 2000 objects of interest from >100 million objects [Python (pandas), SQL] ➤ Designed new innovative metrics using ensemble classification algorithms for.
Jun 2010 - Dec 2016
Undergraduate Research Advisor & Mentor & Public Outreach Volunteer
➤ Public Outreach – I volunteer at the Boston University Astronomy Open Night. We provide the public to weekly (weather permitting) access to small telescopes on the roof of the Astronomy building ➤ Undergraduate Mentor – Designed and oversaw research projects for undergraduate students in order to provide skills in independent research, data reduction.
2010 - 2016
~6 yrs
Graduate Teaching Fellow
➤ Discussion leader for Astronomy 105, Cosmology. I held four one hour mandatory sections a week and I had complete freedom in choosing material. Students were asked to find interesting popular science articles relevant to the coursework and come to class prepared to discuss with their peers. I would help facilitate and guide discussion. ➤ Lab Instructor.
Sep 2009 - May 2010
Fellow
Developed a web app (three week project) that tests whether users can distinguish between real political candidate quotes and quotes generated by a bot. Website: http://www.polibot.us // code: github.com/dylanpmorgan/polibot ➤ Parsed, processed, and stored transcript and speech data from http://www.presidency.usb.edu using BeautifulSoup, Python, and.
Jun 2016 - Aug 2016
Research Assistant
My research focused on using periodic stars as tools for probing structure in the outer Milky Way Galaxy. Analysis required Fourier analysis of time-domain data to determine periodicity of variable stars. As well as 3-dimensional data visualization to determine structure in the Milky Way.
Sep 2008 - Jun 2009
2 education records
Dylan Morgan education
Doctor Of Philosophy (Ph.D.), Astrophysics
Boston University
Bachelor'S Degree, Physics & Astronomy
University Of Washington
FAQ
Frequently asked questions about Dylan Morgan
Quick answers generated from the profile data available on this page.
What company does Dylan Morgan work for?
Dylan Morgan works for Acqueon.
What is Dylan Morgan's role at Acqueon?
Dylan Morgan is listed as Machine Learning / Data Science at Acqueon.
What is Dylan Morgan's email address?
AeroLeads has found 1 work email signal at @calabrio.com for Dylan Morgan at Acqueon.
Where is Dylan Morgan based?
Dylan Morgan is based in Portland, Oregon, United States while working with Acqueon.
What companies has Dylan Morgan worked for?
Dylan Morgan has worked for Acqueon, Truve.Ai, Calabrio, Inc., Boston University, and Insight Data Science.
How can I contact Dylan Morgan?
You can use AeroLeads to view verified contact signals for Dylan Morgan at Acqueon, including work email, phone, and LinkedIn data when available.
What schools did Dylan Morgan attend?
Dylan Morgan holds Doctor Of Philosophy (Ph.D.), Astrophysics from Boston University.
What skills is Dylan Morgan known for?
Dylan Morgan is listed with skills including Data Management, Data Analysis, Data Visualization, Public Speaking, Presentation Skills, Technical Writing, Proposal Writing, and Sql.
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