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I've been professionally coding since 1992. In that time I've run the gamut of C, C++, Java, C# and more. I love engineering and getting things unstuck. I also enjoy conversation and getting to know people, we are PROGRAMMING the robots, we are not the robots themselves :)
Share my experience and knowledge in signal processing, FPGA design, and embedded electronics, machine learning, and IoT with students in order to empower them with technical skills.
Scientific software developer (image processing, data analysis, machine learning & visualisation) and computing using C++, matlab, javascript & web apps. I've been developing working professionally for over 15 years and have touched all sorts of technologies, APIs, Algorithms, build systems in that time 3D Visualisation, GPU/CUDA, Linux/Windows, boost, node.js, .... These days getting into js, node and web technologies. I practice BDD & TDD have led & worked on agile teams and regularly teach people over the internet.
I am a data scientist at Microsoft with a PhD from University Politehnica of Bucharest, specialized in Machine Learning and Signal Processing. I enjoy machine learning projects and I have been working as a data scientist in multiple companies by now. Due to the nature of my past research/work I have experience in several popular languages and technologies for data science, i.e. Python, MATLAB, PyTorch, Tensorflow. I teach Machine Learning and Signal Processing Theory at University Politehnica of Bucharest for 3 years, where I guided several students for personal projects. I have over 6 years of experience in coding. I love mathematics since collage, when I won multiple Olympiads and contests. Moreover, I have a pure passion about machine learning and algorithm.
During my grad school period, I developed a fascination for programming and embedded systems. Since then, I've been teaching "Embebbed C" for advanced students at the university, and "Advance Programming" in C++. On the other hand, I've worked with algorithms and problem solving, so a strong background in Matlab and Python was required. After academia, I've worked developing embedded C/C++ applications with Qt interfaces. Later, I decided to pursue a Ph.D. in hardware design in FPGAs for fast data processing. Since then, I've developed different projects using C, C++, Python, Qt, Keras, Skit-learn, Pandas, VHDL, scripting, and more. I really enjoy being a mentor because I can continue teaching, giving a different perspective, and helping others with solutions for different cool projects.
I am Shubham Dokania, Ex-Research Scientist at Mercedes-Benz R&D. My main area of work includes, but not limited to, deep learning for computer vision and artificial intelligence. https://shubham1810.github.io
I am a Research Fellow in Biomedical Engineering at Roma Tre University. Most of the time I am working on Cooperative Human-Robot Interaction, Human Movement Analysis and Prosthetic Control. I'm also a Lecturer for the Neural Engineering class. I'm here to help with almost everything related to data analysis, coding and mathematical foundations of statistics and machine learning. I'm also available for short web development projects and for preparing data reports. I'm available mostly on the evenings my time (7-11 pm CET) for both mentoring sessions and freelance work, but feel free to ask for availability also at different times. I check codementor very frequently, so write me a message also outside these hours and I will answer very soon.
My area of expertise is signal processing, first in MATLAB or Python to characterize the algorithm. Then the fun part is to implement the algorithm on an embedded platform. FPGAs and VHDL are my favorite platform right now. I also join tinkering at home with my Raspberry PI.
Lifelong coder, experienced Rails engineer (since Rails 1.0), degrees from MIT and Stanford. Founder at ScrumNinja and Internaut Design. Expert communicator. Knows best-practices of industry. I am also an expert in audio signal processing. My typical Rails contract-hire clients are startups working on their MVP.
PhD (2013) - Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA (https://www.bme.gatech.edu/). Specialization in Image and Signal Processing and Medical Imaging. National Science Foundation Graduate Research Fellow, 2010-2013 (https://www.nsfgrfp.org/) Image Processing Consultant for Scientific Imaging and Visualization, 2013 (http://www.scientificiv.com/) Previously a Postdoctoral Scholar and Research Assistant Professor at the University of Kentucky, 2013-2014 Currently a Research Scientist with the Cardiac Imaging Technology Lab at Geisinger Health Systems, Danville PA (http://fornwaltlab.com/) Current research interests include: Image Processing, 3D Visualization, Computational Geometry, Medical Software Development, Web Applications for Image Analysis, and Machine Learning combining Medical Images, Genetic Sequencing, and Electronic Health Data. (https://scholar.google.com/citations?user=EVDMzzUAAAAJ&hl=en) Extensive experience (10+) in MATLAB and Python.
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