Software architect and developer with 10+ years of .NET experience under his belt. Currently consulting on finance projects using a mixture of C# and R. Areas of expertise: .NET stack (T-SQL, C#, ASP.NET MVC, jQuery, LESS), finance programming (R, Bloomberg API), agile development, design patterns, distributed systems, unit testing. Looking for machine learning and finance projects here on oDesk.
Usama Riaz Agency Contractor
Education: - B.Sc. in Electrical Engineering - M.Sc. in Digital Media & Game Technology - M.Eng. in Computer Science & Engineering Tools: - Python, C/C++ - GNU Octave, MatLab - Shell scripting (bash, tcsh, etc.) - Linux, MS Windows - LibreOffice, OpenOffice, MS Office, LaTeX * It's not about the tools. It's all about the creativity in using the tools to deliver what you want. *
As a Computational Physicist I work on high-porformance numerical modeling in a variety of languages. Recently I've made great improvements to software using the Qt, OpenCL and OpenGL libraries. I am a very fast learner and a good problem solver, having won medals at international olympiads in both mathematics and physics. I am ready to approach new and difficult tasks, and I always make sure that my code is readable and maintainable.
I am mechanical engineer with a strong background in mechanics, numerical methods, and structural optimization. I have a master's degree from Delft University of Technology with a specialization in Solid and Fluid Mechanics. Currently, I am completing my PhD on Structural Optimization at the same university. Dutch is my native language, and my level of English and Spanish is on full working proficiency. As a perfectionist, I offer high quality work. My main interests are freelance jobs in the area of structural optimization, mechanics, academic writing, and technical translations from Spanish and English to Dutch.
I am a computer vision expert with a PhD in automated video analysis. I have a proud record of developing robust computer vision and machine learning solutions, and draw on 19 years of R&D, and management experience in automated video analysis: * scene analysis, * background modeling, * motion estimation, * camera calibration, * automatic geo-registration, * object detection, tracking, and classification, * event detection, * context and model learning: supervised, unsupervised and semi-supervised Large recent projects * bridged the semantic gap between RGB pixels and textual content summaries of video content, * integrated visual data with GIS and web resources to automatically geo-locate images, * developed and field tested autonomous rapidly-deployable video analysis nodes, comprising 11MP cameras, WiFi/3G/4G, low-power Intel PC board, Li-ion batteries, that operate indefinitely powered by a 60W flexible solar charger, and * visually estimate heart rate from webcams I'm happy to review your project and help you size your work
Strong skills in algorithmic and platform optimization of audio processing. Project feasibility, planning, test procedures, automation, technical writing. Master degree in computer engineering. Keywords: C, asm, intrinsics, audio codecs, benchmark, optimization Looking for any interesting task in SW/HW development area.
I studied at the Toulouse School of Economics where I had a strong training in applied econometrics as well as linear algebra and probability theory. I also had the opportunity to be teaching assistant. It was a unique academic environment thanks to excellent professors and motivated students. I particularly enjoyed using statistics to model online markets. I had the chance to directly apply my classes during my internship at the European Commission where I computed the economies of density within a network analysis for the control of the UPS/TNT merger. This exciting experience made me want to discover the other side of the expertise, namely economic consulting. I joined Compass Lexecon, a leader in the field, where I worked on empirical analyses. At that time, the growing importance of energy markets for Compass' business made data treatment a key element of our work. I initiated the automation of this process with a code to update and analyze the data. In addition to this technical experience, I enjoyed very much discovering the complementarity between economists, engineers and lawyers of different experience levels.