Top Senior C++ Developers - Nov 2017
PhD, former university instructor and software engineer with 20 years of software development experience in MATLAB, Python, Java, C, and C++. Image Processing and Machine Learning are part of my all-balanced diet. Students get a 33% discount!
- Ph.D. (2013) - Electrical & Computer Engineering, Ryerson University, Toronto, Ontario, Canada: http://www.ee.ryerson.ca/ - Professional Engineer (P.Eng.) Designation - Province of Ontario, Canada: http://www.peo.on.ca - Currently a CodementorX developer: https://hire.codementor.io/ - Former Vanier Canada Graduate Scholar (2010-2013): http://www.vanier.gc.ca/en/home-accueil.html - Currently an Advanced Computer Vision Engineer at Zebra Technologies: http://www.zebra.com - Was an instructor in various Electrical & Computer Engineering courses at Ryerson University: http://www.ratemyprofessors.com/ShowRatings.jsp?tid=1558334 - Research focus: Computer Vision, Image Processing, Machine Learning, Numerical Methods and Optimization: http://scholar.google.ca/citations?user=5piX29gAAAAJ&hl=en - 20 years of software development experience in MATLAB, Python, Java, C and C++: http://ca.linkedin.com/in/rayryeng
Android | Web developer | Algorithms | OOP | Math | Databases
iOS specialist and qualified teacher with over 160 sessions on Codementor. Featured mentor for Codementor and Udemy's iOS and Swift course.
iOS developer, technical consultant and mentor with post-graduate teaching qualifications and MD at Bang Means Do It Software Ltd. David is also a specialist in audio and music technology (DSP, audio signal processing, filters, effects, audio engineering etc.) and is featured mentor for Codementor and Udemy's iOS 9 and Swift course, learn more here: https://www.codementor.io/dev-coding-bootcamp/ios-swift-training Bang Means Do It is a mobile software development company based in Bristol, South West UK. We design, develop and market mobile software for the major mobile platforms (iOS, Android etc.). Founded in 2009, Bang Means Do It has an app portfolio featuring consumer and business applications: digital marketing emergency vehicle response and dispatch mobile banking business applications professional healthcare scheduling and record keeping games music production software audio software augmented reality 2D and 3D graphics interactive sound and visual
Software Development Engineer @ Amazon
I'm a Master student of Software Engineering and SDE at Amazon (Alexa Language Technologies). I've done a couple of internships during my studies, including ones at Nvidia (Linux graphics drivers), Microsoft (Office, primarily worked on projects related to MS Word and MS Sway) and Amazon (I work on Text-to-Speech framework for Amazon Polly and Alexa). I've been programming for around 10 years now. I also used to be a Student Teaching Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way. One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon without a referral, so I might know a trick or two to make your resume stand out. :)) Other than that, you can always reach out to me if you have questions related to Java, Python, C, C++, Android, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you!
Compiler Techonology, Instruction Set Architecture , Assembly Language, General Programming, Introductory Programming, and much more!
My working style: I prefer 1:1 live mentoring over offline help or freelancing, as my objective is to share the information, techniques, thought processes, and skills to get to the next level. I try to be available for mentoring here Mon-Thurs, usually between 8:30am and 4:00pm, California time. (Occasionally, I can be found online Fridays, weekends, or after hours.) About me: I'm an independent programmer whose background is in compiler development. I enjoy working with people. I was mentored by some great people when I was younger and have always enjoyed both side of knowledge sharing. There are no stupid questions from someone who is trying to learn! I am new to codementor(.io), but not to programming & mentoring. My preferences are toward mentoring for general purpose programming, especially in the areas of algorithms and data structures, programming principles, programming paradigms, compiler, or instruction set architecture: course work, hobby, or professional! However, I'm not specifically into frameworks, desktop GUI, or browser UI. Check out my profile on the Software Engineering Stack Exchange: https://softwareengineering.stackexchange.com/users/63202/erik-eidt This is a sister site to the better known StackOverflow, and it concentrates more on architecture, engineering, and best practises in software development. I enjoy applying my deep experiences in compiler and optimization to adjacent fields. I am experienced as an architect, team leader, director, manager, individual contributor, and am a highly skilled programmer. Specialties: • Domain Specific Languages, Metamodeling, Model Transformation, Model Query • Ontology, Logic Foundation, Inferencing, Logic Query • Domain Modeling, Modeling Tools, Model Visualization • Domain Design, Service Oriented Architecture • Computer Language Design, Parsing, Code Generation, Optimization, Runtimes I speak conversational but not technical German, having learned some as a child. My current interests currently run toward the architecture and development of new platform technologies for sharing & securing information that can unlock the potential of the Internet of Things to scale to dozens of widely varied devices per person. If we don't do something radically different, we'll have a siloed mobile app for every little device or sensor — practically a nonstarter. We need sensors and controllable devices to cooperate in helping us with our routine tasks and exceptional endeavors. We need an ecosystem that supports the development of intelligent planning and programming services, able to make use of device sensor data, private user data, public & private big data. This requires fundamentally changing the approach we have toward applications. We need data to enable code rather than code to silo data. I think it is not just reasonable, but even a good idea, to have more than one mentor, so if I'm working with you feel free to get second opinions and other points of view!
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