Principal Machine Learning Software Engineer at Webroot/Opentext
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Interests:Machine Learnig, Bioinformatics, Computer Science, Data Mining, Algorithms.
Simon Fraser University
PhD, Computer Science
January 1, 2002 – January 1, 2008
Sharif University of Technology
Master's degree, Machine Learning and Robotics
January 1, 1999 – January 1, 2001
Kharazmi University
Bachelor's degree, Computer Software Engineering
January 1, 1995 – January 1, 1999
Webroot
Senior Machine Learning Software Engineer
October 1, 2017 – Present
San Diego County, California, United States
Roswell Biotechnologies
Bioinformatics Lead
June 1, 2016 – September 1, 2017
San Diego
GNF
Data Scientist
October 1, 2012 – May 1, 2016
San Diego County, California, United States
BC Cancer Agency/Genome Sciences Centre
Staff Scientist
May 1, 2012 – October 1, 2012
BC Cancer Agency/Genome Sciences Centre
Post doctoral fellow
May 1, 2010 – May 1, 2012
BC Cancer Agency/BC Cancer Research Center
Post Doctoral Fellow
September 1, 2008 – May 1, 2010
Metascape.org
September 1, 2015 – Present
A gene list analysis web application.
Vancouver Short Read Analysls Package - FindPeaks
September 1, 2007 – December 1, 2011
Chip-Seq package for the analaysis of DNA/Proteing binding events and the database of human variations
Machine Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily concentrated in bioinformatics, machine learning, and academic research. While the 'Data Analyst' target role aligns with some aspects of their experience (data science, analysis), the specific industry focus (biotech/genomics) might require adaptation to a broader commercial data analysis context. The project diversity is limited to bioinformatics applications. The candidate's experience level (18 years) is very senior, which could be a strong asset or a potential mismatch depending on the specific team structure and growth opportunities within the target role.
Soft Skills & Operational Fit
The candidate's extensive experience in research and industry roles suggests strong analytical and problem-solving skills. The project descriptions are brief, limiting the ability to assess communication clarity in detail. No psychometric test results are available to evaluate work attitude, stress handling, or team collaboration.