Developer Software

Arash Iranzad

**-** **** *** ***. +*

613-***-****

Toronto, ON M4T1V2

*.*******@*****.***

Summary of Qualifications

• Excellent programming and debugging skills in C#, Java, SQL.

• Technical expertise in software development, data mining and various

supporting applications.

• Great ability in Algorithm design and problem solving skills complemented

w ith the quick ability to adapt and learn new technologies.

Technical Skills And Tools

C#, Java, C++, VB, assembly, HTML, JavaScript.

Programming

L anguages

Development Tools Microsoft Visual Studio, Matlab, Eclipse, Weka, R, Hadoop (familiar).

Technologies .Net Framework, L I NQ, MVC, N Hibernate.

Database M icrosoft SQL Server.

Education

Master of Science in Computer Science

September 2011- Oct 2013 B rock University St. Catharines, ON

• Awarded Research Fellowship, Graduate Fellowship and In ternational

T uition Fellowship .

• Thesis Title: “Hyperspectral Mineral Identification using SVM and SOM”.

Bachelor of Science in Computer Science

September 2006- May University of Tehran, I ran

2011 Tehran

Experience

.Net Software Developer

J uly 2014- Present Medgate Toronto,

ON

• Engineer and develop creative solutions using Microsoft technologies in an

agile, casual, highly collaborative environment.

• Exercise judgement in selecting methods, techniques and evaluation criteria

for obtaining qualitative results.

• Enhance and build new unit tests as per feature requirements.

Graduate Research Assistant

2011- 2013 Brock University S t. Catharines,

ON

• Developed novel, high-precision image segmentation method with Genetic

P rogramming in Java.

• Conducted research on diverse Machine Learning techniques for highly

i mbalanced data, noisy data and feature extraction methods. Developed a fully-

automated mineral classification technique in Matlab.

Graduate Teaching Assistant

2011- 2013 Brock University S t. Catharines, ON

• Improved leadership and teaching skills in class directing students in labs

and tu torials to accomplish the specified objectives.

• Collaborated with various teaching assistants and the professor to evaluate

courses material and design new assignments.

• Lead discussion groups and review project requirements prior to

commencement.

Research Experience

Graduate Student

2011-2013

• Contributed in an academic project entitled “Hair Simulation” as a pattern

recognition consultant.

• Conducted research on applications of Evolutionary Computation methods

for object recognition.

• Applied Evolutionary Algorithms on a well-placement research to improve

t he “Recovery Factor” of oil reservoirs.

U ndergraduate Student

2007-2011

• Conducted research on efficient evolutionary algorithms like Genetic

P rogramming, Bacterial Foraging and Memetics.

• Processed research about neural network classifiers and modifying and

conditioning different combination methods based on their partial uses.

Publication

• Arash I ranzad, et al. "Improving Combination Methods of Neural Classifiers

Using NCL.” IEEE Soft Computing and Pattern Recognition (SoCPaR), 2010.

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