Damien Jones
Full Stack Engineer at Hejare- Claim this Profile
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English Native or bilingual proficiency
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Swedish Full professional proficiency
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French Elementary proficiency
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Chinese Elementary proficiency
Topline Score
Bio
Credentials
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Duolingo French Fluency: Intermediate (Estimated)
DuolingoSep, 2016- Nov, 2024 -
Amazon Web Services Developer - Associate
Amazon Web Services (AWS)Feb, 2020- Nov, 2024 -
Amazon Web Services Solutions Architect Associate
Amazon Web Services (AWS)Jan, 2020- Nov, 2024
Experience
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Hejare
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Sweden
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IT Services and IT Consulting
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1 - 100 Employee
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Full Stack Engineer
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Apr 2019 - Present
Current Project: Full-stack developer at a large multinational machine rental company.Key Contributions:- Responsible for building two web portals (one customer facing and one internal facing). Worked 70% frontend / 30% backend. - Frontend technologies used: React (with Hooks), Apollo/GraphQL, Styled-components, AWS-Amplify - Backend technologies used: Node.js, AWS - (Lambdas, Cognito, RDS, S3, Cloudfront, Cloud Pipeline, DynamoDB) - Worked directly with end users to capture and analyze challenges to their workflow.- Working Environment: Agile, CI/CD
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PumpSoft
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Sweden
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Software Development
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Co-Founder
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Jul 2016 - Present
Roles:Full-Stack Developer+ Developed web based pump-selection, pump system design software - The front-end web app is built with Vue.js, Vuex, D3.js and Socket.io and hosted on AWS S3. - The mobile app is built for iOS and Android using React Native. - Backend in Python (Django) hosted on AWS EC2 - Data extraction/Scraping using Python and Bash scripts. - link: https://robota.pumpsoft.se+ Developed web-based industrial process component selection software - Backend in Node.js with MySql database - Frontend in React Business Strategy and Customer Development - Meeting with clients to discuss technical specifications, design etc.
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KTH Royal Institute of Technology
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Sweden
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Higher Education
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700 & Above Employee
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Master's Thesis Student
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Feb 2017 - Mar 2018
Investigated the use of Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) for the classification of sleep in rodents using EEG and EMG data.Skills: + Python with scikit-learn (SVM) and Tensorflow (CNN)+ Machine Learning, Signal Processing Investigated the use of Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) for the classification of sleep in rodents using EEG and EMG data.Skills: + Python with scikit-learn (SVM) and Tensorflow (CNN)+ Machine Learning, Signal Processing
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EPFL (École polytechnique fédérale de Lausanne)
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Switzerland
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Higher Education
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700 & Above Employee
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Summer Research Intern
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Jul 2015 - Aug 2015
Conducted a pilot study investigating an aspect of Error-Related Potentials (ERPs) using Electroencephalography (EEG).Skills: + Python (pyGame) was used to create the software used in the experimental trials. + Analysis done in MATLAB. Conducted a pilot study investigating an aspect of Error-Related Potentials (ERPs) using Electroencephalography (EEG).Skills: + Python (pyGame) was used to create the software used in the experimental trials. + Analysis done in MATLAB.
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Brown University
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United States
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Higher Education
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700 & Above Employee
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Summer Research Intern
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Jun 2014 - Sep 2014
Conducted research into microfluidic separation of biomolecules using a magnetic bead based platform. Conducted research into microfluidic separation of biomolecules using a magnetic bead based platform.
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Attana
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Sweden
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Biotechnology Research
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1 - 100 Employee
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Quality Controller and Surface Production Engineer
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Jul 2012 - Mar 2013
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Education
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KTH Royal Institute of Technology
Master's Degree, Medical Biotechnology -
Smartly
Master of Business Administration (M.B.A.) -
Ecole polytechnique fédérale de Lausanne
Exchange Year, Life Sciences with a focus on Neuroengineering and Brain Computer Interfaces -
Stockholm University
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Kungliga tekniska högskolan
Bachelor of Science (BSc), Biotechnology -
Karolinska institutet
Bioentrepreneurship