1. Md kaif khan
B.Tech - Computer Science & Engineering - IIT Dhanbad
+91-9973902452 kaifkhan3007@gmail.com
live:93a28b1eda9abd74 https://github.com/kaif3007
PROJECTS
CodeBlog — Flask web app
A Flask web app which contains all necessary functionality of a
basic website where a user can create his/her account and post
solution of various problems of different coding platforms.The
user can also update and delete his/her post.The user can also
update his/her account by changing email,username ,profile
picture and can also reset password by getting a password-reset
link on his/her registered email.
https://github.com/kaif3007/Code_Blog
Image classification of SIGNS Dataset — neural
networks
A tensorflow neural network model to classify to decipher
sign language made by hands over six numbers 0 to 5. Model
has trained over 2160 images over six classes for 2500
iteration over a batch size of 32. It has test-set accuracy of
75.8% which can be improved by using convolutional neural
network architecture. It can be improved further to facilitate
communications from a speech-impaired person to someone
who doesn't understand sign language.
https://github.com/kaif3007/Image-classification-of-SIGNS
-dataset
ImageCompression — k-means clustering
A Flask web app for image compression using k-means
clustering algorithm. Enter any image which you want to
compress along with no. of colors. After compression there is
significant decrease in size of image. Dimensions of image
are maintained.
https://github.com/kaif3007/ImageCompression
Autocorrect and Autocomplete feature
implementations — Data Structures
Autocorrect and Autocomplete feature implementation over a
370110 english word dataset. Data structures used for
autocorrect is B_K Tree and for autocomplete Trie is used.
https://github.com/kaif3007/Autocorrect-and-Autocomplet
e-feature-implementations
EDUCATION
Indian Institute of Technology (ISM),
Dhanbad — B.Tech Computer Science
JULY 2017 - MAY 2021 CGPA – 9.14
Sec Delhi Public School, Gaya
Passed higher secondary examination (CBSE) with 95.2% (2016-
2017 )
Sec Delhi Public School, Gaya
Passed matriculation examination (CBSE) with 10 CGPA
SKILLS
● Programming Languages: C/C++, Python, Javascript
● Frameworks and Libraries: Tensorflow,Keras,Flask,
Bootstrap, Numpy,Pandas,Scikit-learn,Matplotlib
● Others: HTML,CSS ,MySql
ACHIEVEMENTS
● Overall 4th rank in Code Marathon 5.0 (Div 2)
organised by CSE Society consisting of 4 coding
rounds amongst all 2nd year students.
● 92nd rank in Leetcode weekly contest 144.
● 4th position in Bihar in 12th CBSE boards with
95.2%
AREAS OF INTERESTS
● Machine Learning
● Deep Learning
● Web Development
EXTRACURRICULARS
● Kartavya : Educator (Nov 2017 - Present)
● Competitive Programming: Solved over 1200+
problems from various online judges.
RELEVANT COURSES
Data Structures,Object Oriented
Programming,Algorithm Design and Analysis,Operating
Systems,Computer Networks.
