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@untapt.com
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4 phones found area 917, 212, and 646
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LinkedIn matched
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Ed Donner is listed as Co-Founder & CTO at Nebula.io at Nebula.io, based in New York, New York, United States. AeroLeads shows a work email signal at untapt.com, phone signal with area code 917, 212, 646, and a matched LinkedIn profile for Ed Donner.
Ed Donner previously worked as Co-Founder & CTO at Nebula.Io and Chief Technology Officer at Gqr Global Markets. Ed Donner holds Physics from University Of Oxford.
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AeroLeads found 2 current-domain work email signals for Ed Donner. Compare company email patterns before reaching out.
I’m a technology leader and entrepreneur, applying AI to a field where it can make a massive impact: helping people discover their potential and pursue their reason for being. But at my core, I’m a coder. I learned how to program aged 8 and I still spend many weekends writing code (rather badly). If you’d like to join us to show me how it’s done.. message me!I spent most of my career at JPMorgan building software for financial markets. I worked in London, Tokyo and New York. I became an MD running a global organization of 300. Then I left to start my own business, untapt, to solve the problem that had plagued me at JPM - why is so hard to hire engineers?At untapt we worked with GQR, the global talent acquisition business that’s one of the fastest growing recruitment firms on the planet. We collaborated on a groundbreaking, patented invention at the forefront of AI and talent. Our skills were perfectly complementary - untapt as technical leaders, GQR as recruitment leaders - so much so, that we decided to join forces. In 2020, untapt was acquired by GQR’s parent company, Wynden Stark, and Nebula was born.I’m now Co-Founder and CTO for Nebula, responsible for software engineering and data science. Recruiters use our product today to source, understand, engage and manage talent. Our stack is Python/Flask, React, Mongo, ElasticSearch, and we run with Kubernetes on GCP. We create LLMs and matching models using PyTorch and other NLP libraries. If any of this sounds interesting - we should talk!
Listed skills include Natural Language Processing, Early Stage Startups, Deep Learning, Python, and 1 others.
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A career timeline built from the work history available for this profile.
New York, New York, US
I’m the co-founder and CTO of Nebula.io. We help recruiters source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Our patented model matches people with roles with greater accuracy and speed than previously imaginable — no keywords required. Take a look for yourself at https://nebula.io; it’s completely free.
New York, NY, US
As CTO of parent company Wynden Stark, I'm also responsible for innovation at GQR where I lead initiatives to support the hyper-growth of the business, with particular focus on the Healthcare division.
London, GB
With the acquisition of untapt, I transitioned to Chief Technology Officer for the Wynden Stark Group, responsible for Data Science and Engineering.
New York, US
I founded untapt in October 2013; emerged from stealth in 2014 and went into production with first product in 2015. In May 2019, I handed over CEO responsibilities to Gareth Moody, previously the Chief Revenue Officer, shifting my focus to the technology and product.Our core invention is an Artificial Neural Network that uses Deep Learning / NLP to.
New York, US
I founded untapt in October 2013; emerged from stealth in 2014 and went into production with first product in 2015.Our core invention is an Artificial Neural Network that uses Deep Learning / NLP to understand the fit between candidates and roles.Our SaaS products are used in the Recruitment Industry to connect people with jobs in a highly scalable way..
New York, NY, US
Head of Technology for the Credit Portfolio Group and Hedge Fund Credit in the JPMorgan Investment Bank.Led a team of 300 Java and Python software developers across NY, Houston, London, Glasgow and India. Responsible for counterparty exposure, CVA and risk management platforms, including simulation engines in Python that calculate counterparty credit risk.
New York, NY, US
From Jan 2008:Chief Business Technologist for the Credit Portfolio Group and Hedge Fund Credit in the JPMorgan Investment Bank, building Java and Python solutions and managing a team of full stack developers.2007:Responsible for Credit Risk Limits Monitoring infrastructure for Derivatives and Cash Securities, developed in Java / Javascript / HTML.
New York, NY, US
Managed Collateral, Netting and Legal documentation technology across Derivatives, Securities and Traditional Credit Products, including Java, Oracle, SQL based platforms
New York, NY, US
Full stack developer, then manager for Java cross-product risk management system in Credit Markets Technology
Full stack developer and engineering lead, developing Java and Javascript platform to risk manage Interest Rate Derivatives at this FInTech startup and JPMorgan spin-off.
New York, NY, US
Full stack developer for Exotic and Flow Interest Rate Derivatives risk management system in London, New York and Tokyo
Armonk, New York, NY, US
Java and Smalltalk developer with IBM Global Services; taught IBM classes on Smalltalk and Object Technology in the UK and around Europe
Quick answers generated from the profile data available on this page.
Ed Donner works for Nebula.io.
Ed Donner is listed as Co-Founder & CTO at Nebula.io at Nebula.io.
AeroLeads has found 2 work email signals at @untapt.com for Ed Donner at Nebula.io.
AeroLeads has found 4 phone signal(s) with area code 917, 212, 646 for Ed Donner at Nebula.io.
Ed Donner is based in New York, New York, United States while working with Nebula.io.
Ed Donner has worked for Nebula.Io, Gqr Global Markets, Wynden Stark, Untapt, and Jpmorgan Chase.
You can use AeroLeads to view verified contact signals for Ed Donner at Nebula.io, including work email, phone, and LinkedIn data when available.
Ed Donner holds Physics from University Of Oxford.
Ed Donner is listed with skills including Natural Language Processing, Early Stage Startups, Deep Learning, Python, and Ai.
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