Image de profil de RobinLabPtyLtd
Drapeau de Australia Hoppers Crossing, Australia
Membre depuis le 28 novembre 2014
3 Recommendations


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My bids are pricey. But you get what you pay for: quality and speed are guaranteed. I could paste tons of technical info here, but would rather share some warm words I've got from other people: "Eugene is one of the guys who makes software world go round. This is the person who merely loves his work. The best part of working with him is a feeling that you always follow the right direction and nothing can prevent your project from succeeding!" "I consider Eugene to be my peer in all things technical. He quickly understands what we need and delivers what we want" --- It would be my pleasure to help you. Eugene
$80 USD/hr
24 commentaires
  • 96%Travaux complétés
  • 100%Selon le budget
  • 100%Dans les temps
  • 17%Taux de Réembauche


Avis récents


Research Engineer

Sep 2012

Autonomous mobile robots prototyping and programming. Embedded Linux low level development. Machine Learning and Neural Networks.

Senior Software Engineer

Jan 2012 - Jan 2014 (2 years)

Accountable for new application modules design and implementation, documentation development, deployment and maintenance. • Implementing and maintaining Data Mining algorithms • Performance optimization • 3rd party services integration (OAuth, XML, JSON) • JIRA, SVN, C#, MVC, JQuery, LINQ, MS SQL, Unit tests

Senior Software Engineer, Core Server team

Jun 2011 - Jan 2012 (7 months)

Designed and implemented data acquisition framework that supports more than 20 partner Ad networks with real time sync. Maintained and tuned performance of other core server modules. • 3rd party Ad networks integration (SOAP, JSON) • JIRA, SVN, C#, NHibernate, MS SQL, Unit tests

Senior Software Engineer, Data Development team

Jun 2010 - Jan 2011 (7 months)

Designed and developed core infrastructure product that allows tracking user activities across all MySpace applications (including main web site, IM and mobile clients). Millions of messages processed and routed in real time every hour (more than 11 MB/sec bandwidth). • C++/C#, Microsoft CCR, XML, UML, Unit tests


MSc Computer Systems and Networks

1999 - 2004 (5 years)


Computing for Data Analysis (2012)


Computing for Data Analysis In this course students learn programming in R, reading data into R, creating data graphics, accessing and installing R packages, writing R functions, debugging, and organizing and commenting R code.

Machine Learning (2012)


Machine Learning This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Social Network Analysis (2012)


Social Network Analysis This interdisciplinary course uses social network analysis to understand how networks form, how they are structured, and how this structure influences processes occurring over networks.

Cryptography (2013)


Cryptography This course examined cryptographic primitives in theory and in deployed protocols. Topics included public-key encryption, digital signatures, authentication protocols, zero-knowledge and distributed protocols.

Heterogeneous Parallel Programming (2013)


Heterogeneous Parallel Programming The course covers data parallel execution models, locality, parallel algorithm patterns, and scalable programming using joint MPI-CUDA in large scale computing clusters. As part of the course work, students were required to complete 5 quizzes and 5 programming assignments.

Control of Mobile Robots (2013)


Control of Mobile Robots This course investigates control design for mobile robots, including topics such as dynamical systems, state-space based control design, nonlinear and hybrid robot models, and advanced navigation strategies.



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