Let me start my introduction from my roots. I was born and raised in a little town situated in north-west of India named Sri Ganganagar, Rajasthan. I am very fortunate to born in a family where every individual is nourished with moral values and hardwork. By the blessing of my family, I graduated from one of the most prestigious technical institute in whole India named Indian Institute of Technology, Guwahati. I did my B.Tech(Bachelor of Technology) in Computer Science and Engineering. IIT teach me every aspect of life from academia to social life. I did my second year Summer Internship in POSTECH(Pohang University of Science and Technology), South Korea in the field of TPM(Trusted Platform Module). I did my 3rd year Summer Internship in Los Angeles, US based company on QR code, Mobile software development and data mining. Currently I am pursuing my Master's from University of South Florida (USF), USA in the field of Machine learning, Computer vision, Deep learning, AI and Algorithms. I tranfered to USF from Missouri University of Science and Technology (Formally known as University of Missouri, Rolla) with my advisor.
Anurag Panwar
Room F402A, Avalon heights
13508 Avalon heights blvd,
Tampa, Florida 33613 US
(573) 202-1476
anuragpanwar@mail.usf.edu
Master in Computer Science and Engineering• July 2015 - Present
Currently pursuing my Master from Department of Computer Science and Engineering,University of South Florida. I am fortunate to have Dr. Sriram Chellappan as my advisor. My research interests are data mining, machine learning, AI and Algorithms.
Master in Computer Science • July 2014 - July 2015
I was a Master student at Department of Computer Science,Missouri University of Science and Technology (Formally Known as University of Missouri, Rolla) but now moved to USF with my advisor Dr. Sriram Chellapan. MST ranked among the top 10 engineering colleges in the US.
B.Tech. Degree in Computer Science • July 2008 - May 2012
I completed my bachelors degree in Computer Science and Engineering (Computer Science Department) from the Indian Institute of Technology, Guwahati(India). IIT Guwahati is considered to be amongst the top engineering colleges of not only Asia, but also the world (only 1 out of 200 applicants is granted admission through one of the toughest engineering entrance examinations in the world).
Graduate Research Assistant • August 2015 - Present
I am working as a Graduate Research Assistant under distinguished professor at Department of Computer Science and Engineering. My main focus area of work is to develop Machine Learning Resources
- Development of Machine Learning/ Deep Learning algorithms & resources for Classification problems like deficiency detection in plants using computer vision techniques and OCR (MNIST dataset)
- Developed codes and resources for Non-Linear Regression & Classification techniques - Neural Networks, Random Forests, SVM, K-Nearest Neighbors & GBM
- Technologies used- Python, R, Java, C, MATLAB, scikit-learn, numpy, scipy
Engineering Intern - Research and Development • May 2014 - August 2015
Helped R&D team to make faster progress on Fault Detection and Localization research by developing their MATLAB library of simulation tools and by helping develop Web application prototypes. Also helped in developing machine learning techniques for the digital signal data.
Essential Functions:
- Applied machine learning techniques to get insight of their data.
- Learned function of each MATLAB object, requiring knowledge of MATLAB and Signal Processing Toolbox.
- Review supporting documentation for completeness, updated where necessary.
- Organized library of MATLAB objects.
Technologies used: MATLAB, PHP, Java, MySQL, Python.
Graduate Research Assistant • July 2014 - May 2015
Worked as Graduate Research Assistant in SCoRe group under distinguished professor at Department of Computer Science, MST.
- Applied various ML techniques like NLP to build prediction models.
- Designed and implemented Sentimental analysis based algorithms to detect the mood of a person using social media data. It can be used to find the suicidal tendency of a person.
- Implemented the web based Real-time Heatmap visualization tool of particular Keywords related Tweets using Twitter streaming APIs and Google map APIs.
- Developing an algorithm to find influence of a person/organization in social media and their impacts in different domains like viral marketing, health etc.
Technologies used: Python, Java, Redis, MongoDB, SQL, Python libraries like nltk, scikit-learn, scipy, numpy.
Information System Officer • August 2012 - July 2014
Worked with Indian Oil Corporation, a fortune 500 company and India’s largest commercial enterprise, having 35,000 plus
employees with operations over 900 locations, as a mobile application developer, in the Information Systems Department for 2 years.
Worked on various projects like customer application in which the retail and sales customer can access our SAP ERP(Enterprise Resource planning)
through their mobile. We also worked toward both Web and native version of the application. Before this, we worked on employee application named
mPower whose web version can be accessible at https://m.indianoil.in
Technologies involved in front end: Jquery mobile, Javascript, HTML, JSP, CSS, JAVA, JSON
Also Worked on the back end technologies like RESTFUL services
Development using NWDS 7.3(Netweaver development studio)
Developed RFC(Remote Function call) in ABAP.
Intern Software Engineer • May 2011 - July 2011
QR(Quick response) code generator for the URL, text, vcard and mobile message
Technologies and skill involved: Reed-Solomon error correcting code Algorithms, Ruby, Python
As a part of Summer Internship, I implemented the QR code generator both in Ruby and Python. This QR code
is 2-D barcode which is developed by Denso wave, Japan. The QR code can store upto 7 KB of data. QR code consists
of two parts, encoder and decoder. I implemented the QR encoder, which generates the QR code image in which
data is encoded.
Analysis to see the relative changes in different subsystems (like Carries, Handsets et al over time)
Technologies and skill involved: Data Mining, Machine Learning, Neural networks, R programming and
Weka data mining tool.
I did the data mining on Mogreet Database, which is leading company in US to provide the Mobile marketing
using MMS, SMS and QR codes. The domain of the analysis is the user data of about 3.7 million rows of user
table, 21 Millions rows of transaction table, handset table and carriers table. For demographics purposes,
Neural Networks are implemented using fuzzy logic approach.
Research Intern • May 2010 - July 2010
Secure server/client installer using TPM for the enterprise edition of Debian Lenny
Technologies and skills involved: C programming, Computer security, embedded system, parallel programming
I developed the secure package (based on Xen and TPM (Trusted Platform Module)) for enterprise Edition and after
that I applied this module to target system, but we cannot use normal installation process Because this package is
needed very high security level. So, I developed secure server/client installer using TPM.(This installer supports
security and easy to use, because of using it in enterprise.)This TPM is great advantages in the fields of e-commerce
where we cannot rely on the security provide by the software. So this TPM chip is embedded in the CPU to ensure the
security.