Engineer Software

KARANJEET SINGH

[ E-mail: *****************@*****.*** Ó Phone: +1-512-***-**** linkedin.com/karanjeetsingh karanjeethue EDUCATION

MS in Computer Science

University of Texas at Arlington

Jan 2019 – Present Texas, US

Coursework: Artificial Intelligence Software Advance Engineering Database Systems-Software Big Testing Data Database Data Mining Systems Web Data Management Machine Learning

GPA-3.10

B.E. in Computer Science

Punjab Technical University

Jun 2013 – Jul 2017 Punjab, IN

Percentage- 71%

PROGRAMMING SKILLS

Java

Python

Javascript

HTML5, CSS

Numpy, Panda, Anaconda

PHP

C/C++

RESEARCH PAPER

Data Analysis and Manipulation

Techniques

Fall 2019 UTA

Digital Patient-Machine Learning in Health Care

– We presented a method for automated

extraction of patient outcomes from EHR data

our method shows how natural languages cues

from the physicians notes can be combined

with clinical events that occur during a

patient’s length of stay in the hospital

Machine learning

Fall 2020 UTA

Fake Movie Review Detection

– In this paper, we described our deep neural

network-based autoencoder to identify fake

movie reviews. We compared the result of our

methods with the five algorithms used in the

main reference we used to implement the

project. We also discuss the shortcomings and

the scope of future improvement for our

project.

EXPERIENCE

Software Engineer

Freelancer

Jun 2017 – Dec 2018 Chandigarh,India

– Collabrated with 15 clients closely to understand product requirements, meet deadlines and deploy software.

– Developed Chicken logger Android app using Java and SQLite database for 5 poultry farms, making it easy to track feed given daily, available inventory and report any unwell chickens.

PROJECTS

Machine Learning

Fall 2020 UTA

Fake movie review detection

– We used a deep neural network-based autoencoder to identify the fake reviews.We assumed the fake reviews are going to be a small fraction of the total reviews and they will be outliers.

Distributed Systems

Spring 2019 UTA

Socket Programming

– Implemented a student-advising system with a persistent Message Queue server; also implemented synchronised clocks among the clients.Messages transmitted were in HTTP format.

Advance Database systems

Fall 2019 UTA

Cloud Computing/Big Data

– Implemented matrix multiplication on the top of San Diego Supercomputer(SDSC)Hadoop Distributed File System using Map-Reduce Job.

– Implemented Graph Processing algorithms using Map-reduce job, Spark Scala,Pig and Hive which executed in multiple iterations untill it parsed and partitioned the graph into cluster of centroids based on nearest neighbors. Web Data Management

Spring 2020 UTA

Mijares Website Development

– Implemented a web application where potential customers will manage various functions like log-in, making changes to Mijares from the website.

– The Framework used was Laravel PHP, for website designing and styling HTML5, CSS3 and Bootstrap, for validations JavaScript, PHP, and HTML, for database MySQL was used. The website was hosted on the UTA cloud.

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