1. Aashirwad Kashyap
Third Year B. Tech +919646458388
Computer Science and Engineering 2014csb1002@iitrpr.ac.in
Indian Institute of Technology Ropar
CAREER OBJECTIVE
To attain a position of software intern in development field to contribute my knowledge, skills and Experience for the
advancement of the company while studying and making myself grow with the Company.
TECHNICAL SKILLS
Languages: C, C++, Java, Mat lab, Python, Perl, HTML, CSS, JavaScript
Operating systems: Systems: Windows, Linux, And UNIX
Others: Android, MySQL
RELEVANT COURSES
PROJECTS
Email fraud detection
Made using Enron email dataset to train and test the data and used machine learning concept to improve
accuracy.
Three Way Security check
This security system recognizes your face, voice, and Fingerprints in order to grant access. Face and voice
recognition uses machine learning while fingerprints scanning image processing concepts are used.
Weather App
Built a weather app for android for forecasting weather of any location.
Flight Trip Planner
Built a database through which one can reach desired destination in shortest interval and if time is not suitable
other option are also shown Stacks, Queue and Avl tree data structure is used to implement the same.
Digital Clock
Built a purely digital clock with ICs as the only component and no microcontroller or Arduino used.
Automatic Plant Watering System
This system can plant water 1- 8 times a day with specified time set by the user without the use of any manual
labor.
Implemented Fast Non-local Denoising Algorithms
The fast non-local denoising algorithm for removing different types of noise in image which is 50 times faster
than non-local denoising algorithm
Extracurricular Activities
Member of InterIIT volleyball men’s team
Active Member of coding club IIT Ropar (hackerank (rank 3000))
Introduction to Computer Science
Data Structures
Discrete Mathematics
Computer Architecture
Programming Paradigms
Linear Algebra
Computer Networks
Image Processing
Machine Learning(Udacity)
Multimedia Systems
Graphics Design
Probability