Maximilian Droog-Hayes
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Maximilian Droog-Hayes Email & Phone Number

GenAI and ML Specialist Solutions Architect at Amazon Web Services (AWS)
Location: Bristol, England, United Kingdom 10 work roles 3 schools
1 work email found @iesohealth.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@iesohealth.com
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Current company
Role
GenAI and ML Specialist Solutions Architect
Location
Bristol, England, United Kingdom
Company size

Who is Maximilian Droog-Hayes? Overview

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Quick answer

Maximilian Droog-Hayes is listed as GenAI and ML Specialist Solutions Architect at Amazon Web Services (AWS), a with 142019 employees, based in Bristol, England, United Kingdom. AeroLeads shows a work email signal at iesohealth.com and a matched LinkedIn profile for Maximilian Droog-Hayes.

Maximilian Droog-Hayes previously worked as Senior AI Scientist at Ieso and AI Lead at Thisdotsoftware. Maximilian Droog-Hayes holds Doctor Of Philosophy - Phd, Artificial Intelligence And Natural Language Processing from Queen Mary University Of London.

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Email format at Amazon Web Services (AWS)

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*@iesohealth.com
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AeroLeads found 1 current-domain work email signal for Maximilian Droog-Hayes. Compare company email patterns before reaching out.

Profile bio

About Maximilian Droog-Hayes

A conscientious, proactive Research Scientist, loyal, reliable and with a genuine desire to complete tasks to the highest levels. Ambitious with a drive to succeed, I am always excited to face new challenges and solve problems either collaboratively or by teaching myself new skills as needed.

Listed skills include Java, Python, Natural Language Processing, Data Analysis, and 3 others.

Current workplace

Maximilian Droog-Hayes's current company

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Amazon Web Services (AWS)
Amazon Web Services (Aws)
GenAI and ML Specialist Solutions Architect
Bristol, GB
Website
Employees
142019
AeroLeads page
10 roles

Maximilian Droog-Hayes work experience

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

Senior Ai Scientist

Research Scientist

London, United Kingdom

Jun 2019 - Mar 2022

Program Chair

6Th Comutational Creativity Symposium

I acted as the chair of the organizing committee for the 6th Computational Creativity Symposium. This involved a range of activities including: submitting the symposium proposal, inviting academics to serve on the program committee, eliciting paper submissions, inviting a keynote speaker, making the website, and on-the-day organization.

Oct 2018 - Apr 2019

Teaching Assistant

London, United Kingdom

I have worked as a teaching assistant for a variety of university level courses covering a range of topics. These topics have included: Logic, Probability, Matrix Algebra, Java Programming, Software Engineering, and Operating Systems.

Sep 2012 - Dec 2018

Intern

Bbc

London, United Kingdom

During my PhD, I was hired by the BBC to carry out a research project within their news innovationteam. My three month project was to investigate whether the BBC could use their ever-growing archive ofnews articles to automatically answer user questions. This involved both a research and implementationcomponent, investigating the feasibility of different approaches, and then prototyping both standalonequestion answering systems and chatbots. I presented the results of my work to multiple departments andelements of it are now in use.

Jun 2018 - Aug 2018

Program Chair

5Th Computational Creativity Symposium

I acted as the chair of the organizing committee for the 5th Computational Creativity Symposium. This involved a range of activities including: submitting the symposium proposal, inviting academics to serve on the program committee, eliciting paper submissions, inviting a keynote speaker, making the website, and on-the-day organization.

Oct 2017 - Apr 2018

Software Engineer

London, United Kingdom

This was a graduate scheme as a software engineer, receiving training on software in the banking industry.At the end of the three month trial period I was offered a full time position which I had to decline due tostarting a PhD.

Jun 2015 - Aug 2015

Intern

I spent three months working as a data science intern at a big data start-up company. Here I gained experience in the workflow of a small company, along with increasing my skills in the use of versioning systems and learning the Clojure programming language.

Jun 2014 - Aug 2014
3 education records

Maximilian Droog-Hayes education

Doctor Of Philosophy - Phd, Artificial Intelligence And Natural Language Processing

PhD in automatic text summarization, showing the value of abstractive summarization, and the use of discourse structure.

FAQ

Frequently asked questions about Maximilian Droog-Hayes

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

What company does Maximilian Droog-Hayes work for?

Maximilian Droog-Hayes works for Amazon Web Services (AWS).

What is Maximilian Droog-Hayes's role at Amazon Web Services (AWS)?

Maximilian Droog-Hayes is listed as GenAI and ML Specialist Solutions Architect at Amazon Web Services (AWS).

What is Maximilian Droog-Hayes's email address?

AeroLeads has found 1 work email signal at @iesohealth.com for Maximilian Droog-Hayes at Amazon Web Services (AWS).

Where is Maximilian Droog-Hayes based?

Maximilian Droog-Hayes is based in Bristol, England, United Kingdom while working with Amazon Web Services (AWS).

What companies has Maximilian Droog-Hayes worked for?

Maximilian Droog-Hayes has worked for Amazon Web Services (Aws), Ieso, Thisdotsoftware, Action.Ai, and 6Th Comutational Creativity Symposium.

How can I contact Maximilian Droog-Hayes?

You can use AeroLeads to view verified contact signals for Maximilian Droog-Hayes at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.

What schools did Maximilian Droog-Hayes attend?

Maximilian Droog-Hayes holds Doctor Of Philosophy - Phd, Artificial Intelligence And Natural Language Processing from Queen Mary University Of London.

What skills is Maximilian Droog-Hayes known for?

Maximilian Droog-Hayes is listed with skills including Java, Python, Natural Language Processing, Data Analysis, Clojure, Artificial Intelligence, and Amazon Web Services.

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