Farhan Mazhar
2707 Portland St, Los Angeles, CA
(213)-477-0571 Github fmazhar@usc.edu
https://www.linkedin.com/in/farhanmazhar
EDUCATION
M.S. Computer Science University of Southern California Expected May 2017
ď‚· GPA: 3.5 / 4.0
B.E. Computer Science Siddaganga Institute of Technology June 2013
ď‚· GPA: 3.8 / 4.0
Relevant Courses:
TECHNICAL SKILLS
Programming Languages: Java, Python, UNIX Shell scripting, Perl, C++,
Relevant Skills: Linux, Data structures, Algorithm Design, Design Patterns, Data Structure
Data Analytics Tools: Hadoop, Apache Spark, SQL, MongoDB, Cloud Computing, Distributed Systems
Web Languages: JavaScript, jQuery, PHP, Node.js, Bootstrap, Web Services, Rest API, JSON, AWS
PROFESSIONAL EXPERIENCE
Software Engineer Robert Bosch (RBEI), India July 2014–June 2015
ď‚· Increased the software release efficiency by developing tools and interfaces using Java and Python.
ď‚· Optimized the performance of the build system by 15% by implementing automation scripts in Python, Perl and
Shell.
ď‚· Incorporated a continuous build/ integration strategy using Jenkins that resulted in timely and bug free
software releases.
Associate Software Engineer Robert Bosch (RBEI), India Aug 2013 - June 2014
ď‚· Developed plugin with Java to be integrated with build tools that were used in the production environment.
ď‚· Documented the workflow of the software build scripts to facilitate smooth knowledge transfer for new hires.
Technologies: Java, Python, Perl, Jenkins, Clearcase, GCC based build tools, DevOps, Git, Agile methodology
PROJECT EXPERIENCE
ď‚· Knowledge Based Logical Inference Agent [Java]: Programmed an inference engine in Java that computed
90% accurate logical conclusions to user queries given in first order logic.
o Java, First Order Logic, Data modeling, Backward chaining algorithm
ď‚· Private Cloud Platform and Hadoop Clusters [Java]: Collaborated with a team to provide platform as a
service to users by setting up a private cloud environment. Deployed Hadoop clusters for distributed
processing of large data sets on the setup.
o Java, Hadoop Framework, Service Oriented Architecture, Linux System Programming, Virtualization
ď‚· Retail E-Commerce Web and Hybrid Mobile Application [JavaScript]: Developed an end to end e-
commerce application using Mean Stack to display product and sales information.
o Node.js, MongoDB, Express, Mongoose ODM
ď‚· Bayesian Network for Decision Making [Java]: Programmed a 95% accurate decision network for making
rational decisions given conditional probabilities of previous events.
o Java, Decision Network, Bayes Rule, Data Analysis, Conditional Probability
ď‚· Custom Web Search Engine [Java, JavaScript]: Implemented a custom multithread crawler-based web
search engine using Apache Solr and Java with a 80% relevancy score for search queries.
o Java (Intellij Idea), LAMP Stack, Node.js, JavaScript, PHP, Linux, Crawler4j, Apache Solr, Tika
ď‚· Data Wrangler [Python]: Implemented modules for predicting insights by wrangling Twitter, Wikipedia and
Open street data sets using Python and MongoDB aggregation framework
o Python, MongoDB, MongoDB aggregation, XML, JSON, CSV, HTML Screen Scrapping
USC INVOLVEMENT
ď‚· Participated in USC Hackathon organized by ACM. Developed a web application for event management and
recommendations.
HONORS AND AWARDS
ď‚· Among the top performers at Robert Bosch which led to spot awards and promotion.
ď‚· Merit Scholarship from Government of India for academic excellence.
ď‚· Algorithm Analysis and Design ď‚· Advance Database Systems ď‚· Artificial Intelligence
ď‚· Natural Language Processing ď‚· Information Retrieval ď‚· Advanced Web Technologies

Farhan_Mazhar

  • 1.
    Farhan Mazhar 2707 PortlandSt, Los Angeles, CA (213)-477-0571 Github fmazhar@usc.edu https://www.linkedin.com/in/farhanmazhar EDUCATION M.S. Computer Science University of Southern California Expected May 2017  GPA: 3.5 / 4.0 B.E. Computer Science Siddaganga Institute of Technology June 2013  GPA: 3.8 / 4.0 Relevant Courses: TECHNICAL SKILLS Programming Languages: Java, Python, UNIX Shell scripting, Perl, C++, Relevant Skills: Linux, Data structures, Algorithm Design, Design Patterns, Data Structure Data Analytics Tools: Hadoop, Apache Spark, SQL, MongoDB, Cloud Computing, Distributed Systems Web Languages: JavaScript, jQuery, PHP, Node.js, Bootstrap, Web Services, Rest API, JSON, AWS PROFESSIONAL EXPERIENCE Software Engineer Robert Bosch (RBEI), India July 2014–June 2015  Increased the software release efficiency by developing tools and interfaces using Java and Python.  Optimized the performance of the build system by 15% by implementing automation scripts in Python, Perl and Shell.  Incorporated a continuous build/ integration strategy using Jenkins that resulted in timely and bug free software releases. Associate Software Engineer Robert Bosch (RBEI), India Aug 2013 - June 2014  Developed plugin with Java to be integrated with build tools that were used in the production environment.  Documented the workflow of the software build scripts to facilitate smooth knowledge transfer for new hires. Technologies: Java, Python, Perl, Jenkins, Clearcase, GCC based build tools, DevOps, Git, Agile methodology PROJECT EXPERIENCE  Knowledge Based Logical Inference Agent [Java]: Programmed an inference engine in Java that computed 90% accurate logical conclusions to user queries given in first order logic. o Java, First Order Logic, Data modeling, Backward chaining algorithm  Private Cloud Platform and Hadoop Clusters [Java]: Collaborated with a team to provide platform as a service to users by setting up a private cloud environment. Deployed Hadoop clusters for distributed processing of large data sets on the setup. o Java, Hadoop Framework, Service Oriented Architecture, Linux System Programming, Virtualization  Retail E-Commerce Web and Hybrid Mobile Application [JavaScript]: Developed an end to end e- commerce application using Mean Stack to display product and sales information. o Node.js, MongoDB, Express, Mongoose ODM  Bayesian Network for Decision Making [Java]: Programmed a 95% accurate decision network for making rational decisions given conditional probabilities of previous events. o Java, Decision Network, Bayes Rule, Data Analysis, Conditional Probability  Custom Web Search Engine [Java, JavaScript]: Implemented a custom multithread crawler-based web search engine using Apache Solr and Java with a 80% relevancy score for search queries. o Java (Intellij Idea), LAMP Stack, Node.js, JavaScript, PHP, Linux, Crawler4j, Apache Solr, Tika  Data Wrangler [Python]: Implemented modules for predicting insights by wrangling Twitter, Wikipedia and Open street data sets using Python and MongoDB aggregation framework o Python, MongoDB, MongoDB aggregation, XML, JSON, CSV, HTML Screen Scrapping USC INVOLVEMENT  Participated in USC Hackathon organized by ACM. Developed a web application for event management and recommendations. HONORS AND AWARDS  Among the top performers at Robert Bosch which led to spot awards and promotion.  Merit Scholarship from Government of India for academic excellence.  Algorithm Analysis and Design  Advance Database Systems  Artificial Intelligence  Natural Language Processing  Information Retrieval  Advanced Web Technologies