Sean Cantrell Email & Phone Number
@spotify.com
2 phones found area 203 and 703
LinkedIn matched
Who is Sean Cantrell? Overview
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Sean Cantrell is listed as Senior Machine Learning Engineer at Spotify at PremiseAI, a with 1 employees, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 203, 703, and a matched LinkedIn profile for Sean Cantrell.
Sean Cantrell previously worked as Senior Machine Learning Engineer at Spotify and Machine Learning Engineer at Signos. Sean Cantrell holds Ph.D., Particle Theory from The Johns Hopkins University.
Email format at PremiseAI
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AeroLeads found 1 current-domain work email signal for Sean Cantrell. Compare company email patterns before reaching out.
About Sean Cantrell
I'm a physicist by training, an entrepreneur, and a machine learning engineer specializing in deep learning and natural language processing. With 21 years of experience, mathematical modeling of all forms comprises my bread and butter. Having been exposed to numerous specialties, I apply a deeply interdisciplinary approach to all of my work. I am especially passionate about utilizing my skills in the AI space to develop products that touch people's lives. Despite now being in the private sector, the academic in me never died, and I actively engage in and publish deep learning research as my passion.
Listed skills include Deep Learning, Data Analysis, Mathematical Modeling, Python, and 20 others.
Sean Cantrell's current company
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Sean Cantrell work experience
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Senior Machine Learning Engineer
CurrentAs a senior MLE, I have* Helped develop the core embeddings algorithm for musical tracks that remains predominantly stable* Reduced training time of the core embeddings algorithm by 30%* Roadmapped and helped build an instruction fine-tuned multimodal model for recommendations that understands internal catalog vectors* Developed the in-house multitask, instruction fine-tuned language embeddings and masking model that extends bge-m3's capabilities to inferface with the multimodal model and is adapted to the Spotify corpus* Created a novel unsupervised compositing algorithm that represents collections of embeddings much more effectively than averaging -- relative improvements between 2% and 100% on various recommendation metrics.
Machine Learning Engineer
Machine Learning Engineer
I lead the deep learning, algorithm, and general AI R&D efforts at ResoluteAI. My R&D efforts thus far comprise:* Developed prototype neural network, Green gauge network (GGN), that outperforms Transformers on autoencoding and autoregression tasks* Developed approximate nearest neighbors search with O(1) complexity that outperforms ANNOY, SCANN (before SCANN was published)* Developed novel locality preserving hashing algorithm for mapping vectors in Euclidean space to bit vectors in Hamming space. This is used as an intermediate step in the nearest neighbor search algorithm.* Used GGN-based language model and ANN search to create a semantic search engine using NLUGeneral duties include:* Stay abreast of SotA research; implement as necessary. Solve ML problems as the need arises.* Consult with customers to lead sales-driven product creation.* Collaborate with marketing.
Data Scientist - Lead Consultant
As the "Xpert" in deep learning and natural language processing for the data science specialty area at Excella, I cultivated our team's capabilities, engage with the DC data science community, and help define the cutting edge in the field. I leveraged my extensive background in mathematical modeling to:* Architect and build a machine learning-driven QA engine for USCIS, dubbed 'DALE' internally.* Discover the emergent Lie group structure of RNNs and word embeddings trained end-to-end on NLP tasks. • Develop a novel word embedding scheme, termed LieGr (Lie Group Embeddings), utilizing the results of the above mentioned exploration. Words are embedded as elements of a Lie group. Benchmarks vs other models in preparation.* Develop the state-of-the-art text generation network using a novel GAN architecture (YukawaGAN) and novel RNN (GaugeNN).
Cto
Broadly, NLS Analytics develops extremely general metrology techniques and apparati for perturbatively nonlinear systems. Nonlinear dynamical processes and interactions influence a wide variety of physical systems of fundamental and applied signifi cance, and understanding the properties of the systems subject to these dynamical processes is critical to everything from the advancement of MEMS technology to personal health monitoring.NLS Analytics focused on applications of the broader approach to atomic force microscopy (AFM) and has nearly completed a prototype of a quantitative technique and delivery vector that retrofits existing AFM systems via their signal access module and enables high-throughput, dynamic quantitative imaging of materials, particularly viscoelastic and biological materials, in a manner that circumvents the need to characterize the cantilever tip geometry.
Phd Candidate
PhD student in particle theory studying aspects of AdS/CFT with focus on the AdS side.For my thesis, I proved the Goldstone equivalence theorem and an arbitrary-order tensor generalization of it in AdS. I additionally created a lift formalism that extended the smearing technique for large-N conformal theories.Beyond the scope of my thesis work, I worked on composite Higgs and exotic physics models. As a humorous point of pride, by a day I was "successfully scooped" by Nobel laureate Glashow on proving superluminal neutrinos could not have been observed at Opera.
Software Developer
Colleagues at PremiseAI
Other employees you can reach at spotify.com. View company contacts for 1 employees →
Ji Hae Wiley
Colleague at PremiseaiHermosa Beach, California, United States
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MM
Miss Malia M
Colleague at PremiseaiSan Francisco, California, United States
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AN
Amin Nima
Colleague at PremiseaiTehran, Tehran Province, Iran, Islamic Republic Of
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PL
Päivi Lohi
Colleague at PremiseaiHelsinki, Uusimaa, Finland
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JP
Jayashree Pridhivi
Colleague at PremiseaiFrisco, Texas, United States
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TJ
Torbjörn Johansson
Colleague at PremiseaiStockholm County, Sweden
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ML
Melanie Lugo
Colleague at PremiseaiNew York, United States
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GC
Gold Chain
Colleague at PremiseaiLagos, Lagos State, Nigeria
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NS
Noman Soomro
Colleague at PremiseaiIslamabad, Islāmābād, Pakistan
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RG
Raul Gurung
Colleague at PremiseaiSingapore
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Sean Cantrell education
Ph.D., Particle Theory
B.S., B.A., Physics, Mathematics
Frequently asked questions about Sean Cantrell
Quick answers generated from the profile data available on this page.
What company does Sean Cantrell work for?
Sean Cantrell works for PremiseAI.
What is Sean Cantrell's role at PremiseAI?
Sean Cantrell is listed as Senior Machine Learning Engineer at Spotify at PremiseAI.
What is Sean Cantrell's email address?
AeroLeads has found 1 work email signal at @spotify.com for Sean Cantrell at PremiseAI.
What is Sean Cantrell's phone number?
AeroLeads has found 2 phone signal(s) with area code 203, 703 for Sean Cantrell at PremiseAI.
Where is Sean Cantrell based?
Sean Cantrell is based in Brooklyn, New York, United States while working with PremiseAI.
What companies has Sean Cantrell worked for?
Sean Cantrell has worked for Premiseai, Spotify, Signos, Resolute.Ai, and Excella Consulting.
Who are Sean Cantrell's colleagues at PremiseAI?
Sean Cantrell's colleagues at PremiseAI include Ji Hae Wiley, Miss Malia M, Amin Nima, Päivi Lohi, and Jayashree Pridhivi.
How can I contact Sean Cantrell?
You can use AeroLeads to view verified contact signals for Sean Cantrell at PremiseAI, including work email, phone, and LinkedIn data when available.
What schools did Sean Cantrell attend?
Sean Cantrell holds Ph.D., Particle Theory from The Johns Hopkins University.
What skills is Sean Cantrell known for?
Sean Cantrell is listed with skills including Deep Learning, Data Analysis, Mathematical Modeling, Python, R, Sql, Model Building, and Statistics.
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