Profile image of wijayaadhisurya
@wijayaadhisurya
Flag of Indonesia Salatiga, Indonesia
Member since October, 2012
0 Recommendations

Wijaya Adhisurya 

I am an embedded software engineer for a robotics company with 6 years experience. These are my skills: - Object-oriented C++ embedded software. I have succeeded on maintaining modularity on large project without sacrificing efficiency. Consideration of real time operation, tight constraint, and execution speed always in my mind. - Python scripting to automate unit tests. I also know some list comprehension and lambda expression. Have read Zen of Python and try to always write the Python way. - On desktop platform, I prefer .NET with C# but also know some of C++/CLI. C# is a boringly beautiful language, with some nice addition of Lambda expressions and LINQ. It's verbose, but never disappoints or surprises you. C++/CLI is the most sane way to bridge native and .NET world. - In some occasions, I write VHDL codes for FPGA and CPLD, mainly for Altera. - Although I have limited knowledge on electronics, I am familiar with component datasheets and simple schematics - Additionally, during my college time, I am familiar with a little bit signal processing and machine learning, because I developed a voiceprint identification software.
$15 USD/hr
3 reviews
3.7
  • 50%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • N/ARepeat Hire Rate

Recent Reviews

Experience

Senior Software Engineer

Jun 2011

Develops and maintains motion control embedded system that is used at the hearts of our robots

Assistant Engineer

Dec 2009 - May 2011 (1 year)

Develops MAC layer and PHY layer embedded software for WIMAX System On Chip

Junior IT Consultant

Jan 2009 - Nov 2009 (10 months)

Develops custom application for business needs

Education

Computer Science

2003 - 2008 (5 years)

Publications

Penerapan Hidden Markov Model dalam Clustering Sequence Protein Globin

Mudah dan murahnya proses pengumpulan data biologi molekuler saat ini menyebabkan ukuran basis data genetika meningkat dengan pesat. Hal ini meningkatkan kebutuhan akan alat bantu komputasi untuk menganalisa data tersebut. Salah satu task dasar dalam menganalisa data biologi molekuler adalah pengelompokkan dari kumpulan sequence protein. Metode komputasi yang banyak dikaji dalam bioinformatika saat ini adalah hidden markov model (HMM). HMM menggunakan algoritma pembelajaran Baum-Welch untuk mengestimasi par

Certifications

Verifications

  • Facebook Connected
  • Preferred Freelancer
  • Payment Verified
  • Phone Verified
  • Identity Verified
  • Email Verified

My Top Skills

Browse Similar Freelancers