Python Engineer focused on big data

EDUCATION

M.Sc. in Electrical Engineering

Concentration: Computer Engg.

University of Texas at San Antonio,

TX, December, 2016

B.Sc. in Electrical and Electronic

Engineering

Bangladesh University of Engineering

& Technology, Dhaka, Bangladesh,

April, 2012

CERTIFICATION

Cloudu Certificate, Rackspace

SKILLS

Languages

Python, Java, R, Shell Scripting

Databases

SQLite3, MongoDB, DynamoDB

Tools/Frameworks

OpenMPI, Hadoop, Apache Spark,

Scikit-learn, Numpy, Scipy, Git,

MatplotLib

Others

Virtualbox, Vmware, Microsoft

Office

RELEVANT GRADUATE

COURSES

Special topics: cloud computing

Programming techniques for cloud

Independent study on cloud

computing

Computer architecture

Mobile application development in

android

Masters thesis on cloud computing

and machine learning

AWARDS

Valero Research Scholarship, 2015

Open Cloud Institute Scholarship,

2016

PROFESSIONAL SUMMARY

Looking for full time opportunities in software engineering/Devops Engineering field in a reputed company. Skilled Computer Engineer with extensive knowledge of wide variety of cloud and machine learning technologies. Have excellent programming skills in python. PROFESSIONAL EXPERIENCE

Research Intern, Sagacious Solutions Inc;

Laguna Niguel, CA (September 2016- December 2016)

Proposed a cost saving model by designing a machine learning based prediction model in python for RF emission analysis

Designed an RF emission sensing model using IoT

technologies such as SigFox, AT&T M2X etc

Lab Assistant I, University of Texas at San Antonio; San Antonio, TX (May 2015- September 2016)

Increased overall productivity by efficiently creating reports from parscore

Regularly collaborated with students to inform them about tests

Assistant Engineer, Dhaka Electric Supply Company Limited; Dhaka, Bangladesh (October 2012-December 2014)

Reduced overall electricity loss by 3% by planning and maintaining electrical infrastructure

Increased overall revenue by 1% by reducing faulty materials and regular collection of bills

ACADEMIC PROJECTS

Titanic: Machine learning from disaster (Scikit-learn/Python)

Predicting Kobe Bryant shot selection in Spark using machine learning (Spark Mllib/Python)

FnF Locator using AWS DynamoDB (Android studio)

Counting stars in a large image file using OpenMPI

(OpenMPI/Python)

Artificial turf count using Hadoop distributed file system

(HDFS) (Hadoop/Python)

Designing a MIPS disassembler (Python)

Cache performance simulator that Simulates the cache hit/miss behavior on each of the memory addresses (Python)

PUBLICATIONS

“Efficient Mobile Computation Using the Cloud”, Authors: S M Azharul Karim, John J Prevost, 2015 3rd International Conference on Future Internet of Things and Cloud, IEEE Explore

“A Machine Learning Based Approach to Mobile Cloud Offloading”, Authors: S M Azharul Karim, John J Prevost, 2017 Computing Conference, London, UK

S M Azharul Karim

San Antonio, TX Phone: 210-***-**** *.*.*******.*****@*****.*** https://www.linkedin.com/in/azharulkarim

Contact this candidate