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Raul B.
Full Stack Developer

United Kingdom-Other

3+ years experience

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Millionaire Trading

Oct 2018

Chief Executive Officer

Millionaire Trading is a professional crypto signals platform offering you the most accurate signals
possible. Our expert traders' technical and sentiment analysis of the market is combined with our use
of highly advanced machine learning algorithms to support our decisions and produce the most

profitable signals for you. We offer a wide variety of subscriptions to cater to your needs.

Power Ledger

Oct 2017

Private Investor

Millionaire Trading is a professional crypto signals platform offering you the most accurate signals
possible. Our expert traders' technical and sentiment analysis of the market is combined with our use
of highly advanced machine learning algorithms to support our decisions and produce the most

profitable signals for you. We offer a wide variety of subscriptions to cater to your needs.

Substratum

Aug 2017

Private Investor

Millionaire Trading is a professional crypto signals platform offering you the most accurate signals
possible. Our expert traders' technical and sentiment analysis of the market is combined with our use
of highly advanced machine learning algorithms to support our decisions and produce the most

profitable signals for you. We offer a wide variety of subscriptions to cater to your needs.

Ethereum

Jun 2017

Private Investor

Millionaire Trading is a professional crypto signals platform offering you the most accurate signals
possible. Our expert traders' technical and sentiment analysis of the market is combined with our use
of highly advanced machine learning algorithms to support our decisions and produce the most

profitable signals for you. We offer a wide variety of subscriptions to cater to your needs.

JPMorgan Chase & Co

Jun 2016 - Jun 2017

Software Engineer

I've joined the Derivatives & FX
team within the Corporate & Investment Banking division. So far I
have worked on a 3D data visualization project (C++14/OpenGL) which
helps establish the diagnostic of bottlenecks in the system whenever
these occur, as well as present a simplified visual tool for the flow of
data through the system. Currently, I am working on providing internal
automation tools (Python) as well as cloud development
(Java/Spring/AWS).

my2be Ltd

Jun 2015 - Jun 2016

Web Application Engineer

Worked as a web application developer for my2be Ltd. I have been doing both front and backend

programming using ASP.NET MVC (Razor for UI and C# for writing API calls).

IT Services Manchester

Sep 2014 - Jun 2016

Occasional Assistant (Hornet Representative)

Worked as an Occasional Assistant in the Halls of Residence Networking team within the Directorate
of IT Services, University of Manchester. I was responsible for the first line support/resolution of all

wired and wireless issues reported within Manchester University Halls of Residence.

SC Alien Concept SRL

Jun 2012 - Aug 2012

Mobile Application Developer

Developed the project Taxi Finder for Android smartphones. During this summer I had the first
encounter with both Java and the Android SDK, making the achievement of finishing the project

even more rewarding.

Projects

Jun 2012 - Aug 2012

FitnessAid
Mar 2016
Project description
We have developed a web application to aid people with keeping fit. Our web application makes use of speech recognition, natural language processing and sentiment analysis to decide what kind of music to play in the background during the training (based on the user's mood) as well as which muscle group the user wants to train, automatically opening the respective training videos in full screen mode. Technologies used include Python and the Flask framework for the back-end as well as Foundation, AngularJS and jQuery for the front-end. The application can be used on any device provided it has a microphone (smartphones, tables, PCs, smart TVs).
The project won the first place for TheHutGroup's challenge.

SkyPlanner
Feb 2016
Project description
We thought of how convenient it would be to be able to decide where to go on your next trip depending on your budget and especially on your mood. It would be random and fun. To be more specific, being provided a short text in which the user is expressing his/her current feelings, and by using a natural language processing algorithm, we are suggesting the user a dream destination.

FileDigger
Jan 2015 – May 2015
Project description
Easy to use location-based online file storage system.
Step 1: Choose a location and upload your file to the map. You can also choose to restrict downloading to a radius, share only with friends or set a limited period of time during which the file will be downloadable.
Step 2: Share the location. No need to remember complex URLs to pass along. Simply tell people where on the map you put the file and they will be able to easily locate it.
Step 3: Download from the location on a mobile device if radius restriction was set, otherwise you can download from anywhere. It's that simple.

TradeIT
Apr 2015
Project description
Developed a blind auction application during the Great Uni Hackathon. We have implemented our platform in PHP and made use of Braintree's API to process transactions between users.

Honors & Awards

Jun 2012 - Aug 2012

StudentHackIV - 1st prize for The Hut Group's challenge
Mar 2016 honor issuer The Hut Group - eCommerce Company
Won the 1st prize for The Hut Group's challenge with the project FitnessAid.

Google Hash Code - Participation
Feb 2016 honor issuer Google - Technology Company
Took part in the Google Hash Code contest as part of a 4-man team. We have implemented a solution making use of the K-means clustering algorithm.

Catalysts Coding Contest - Rank 22 (out of 75)
Sep 2015 honor issuer Catalysts GmbH - Software Company based in Austria
Attained rank 22 (out of 75) for solving the first 4 (out of 7) levels of the Hot Doc's - Automatic Surgery problem.

Google Code Jam - Rank 1266 (out of roughly 27500)
May 2015 honor issuer Google - Technology Company
Attained rank 1266 (out of roughly 27500) after solving 3 (out of 4) problems.

National Olympiad in Computer Science (C++ Programming) - Honorable mention diploma
May 2014 honor issuer Ministerul Educației și Cercetării Științifice România
Awarded the honorable mention diploma for the results obtained in the National Olympiad in Computer Science (C++ Programming).

National Olympiad in Mathematics - Honorable mention diploma
Apr 2014 honor issuer Ministerul Educației și Cercetării Științifice România
Awarded the honorable mention diploma for the results obtained in the National Olympiad in Mathematics.

Catalysts Coding Contest - Rank 83 (out of 242)
Sep 2013 honor issuer Catalysts GmbH - Software Company based in Austria
Attained rank 83 out of 242 for solving the first level of the Skyscraper problem.

National Olympiad in Computer Science (C++ Programming) - Honorable mention diploma
May 2013 honor issuer Ministerul Educației și Cercetării Științifice România
Awarded an honorable mention diploma for the results obtained in the National Olympiad in Computer Science (C++ Programming).

National Olympiad in Information Technology - Silver Medal (5th place)
May 2013 honor issuer Ministerul Educației și Cercetării Științifice România
Awarded the Silver Medal and the 5th place for the results obtained in the National Olympiad in Information Technology.

National Contest "History and Society in a virtual dimension" - 1st place
Apr 2013 honor issuer Ministerul Educației și Cercetării Științifice România
Developed another educational web application on a historical theme.

National Olympiad in Physics - Honorable mention diploma
Apr 2013 honor issuer Ministerul Educației și Cercetării Științifice România
Awarded an honorable mention diploma for the results obtained in the National Olympiad in Physics.

National Contest "History and Society in a virtual dimension" - Honorable mention diploma
Apr 2012 honor issuer Ministerul Educației și Cercetării Științifice România
Developed an educational web application on a historical theme.

Coursework

Jun 2012 - Aug 2012

Machine Learning - Coursera
Advanced AI: Deep Reinforcement Learning in Python, Artificial Intelligence: Reinforcement Learning in Python, Automation with Python, Deep Learning: Convolutional Neural Networks in Python, Deep Learning: Recurrent Neural Networks in Python, Deep Learning with Tensorflow - Udemy.

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