AKSHAY MALAV
Computer Science and Engineering
with Minor in Management
Final Year Undergraduate, IIT Jodhpur
LinkedIn , Github
Email-id :-Mobile No: -
EDUCATION
Examination
Under-graduation
Senior Secondary (Class 12)
Secondary (Class 10)
*till 7th semester
Institute/School
Indian Institute of Technology Jodhpur
Maa Bharti Sr. Sec. School
New Alpha English Sr. Sec. School
Year-
CPI/%
8.21/10 *
89.60%
88.33%
INTERNSHIP EXPERIENCE
• Summer Internship at Mathworks
◦ Worked on Simulink Design Verifier
MAY 2019-JUL 2019
◦ Developed an application using Matlab App Designer for the Hackathon
ACHIEVEMENTS
• Academic: Ranked 1218(Gen.) in JEE Main(2016) and 851(Cat.) in JEE Advanced(2016)
• HackerRank (Handle- hodorr): Ranked 150 National in Week of Code 35 among 9400+ participants
• Codechef (Handle- akshayyo): 4-star user and Ranked 187 Worldwide in July Long Challenge 2018 among
5400+ participants
• Facebook Hacker Cup 2018: Reached till Round 2 of Facebook Hacker Cup 2018
PROJECTS UNDERTAKEN
• Polling and Quiz Android Application (Guide:Dr. Sumit Kalra)
JAN 2019-MAY 2019
◦ Developed an application through which user can conduct a Poll or Quiz online or offline
◦ Implemented with Java on Android Studio using nearby connections API
◦ Firebase realtime database was used to store the relevant data
• Solving homonym problem in Dblp Database (Guide: Dr. Suman kundu)
AUG 2019-DEC 2019
◦ Developed an algorithm to solve the homonym problem and found affiliation history using web scraping
◦ It is implemented in python using Beautiful Soup and Selenium webdriver
◦ A python library has also been developed for the same
• Bus Reservation System (Guide:Dr. Anil Shukla)
AUG 2017-DEC 2017
◦ Developed a CLI based model for bus reservation system
◦ Implemented in C++ with data stored in CSV format using file handling and used the concepts of OOPs
◦ Extensive use of data structures along with well known algorithm Dijkstra
• Parsing tables in printed document images (Guide:Dr. Gaurav Harit)
AUG 2018-DEC 2018
◦ Developed a model which parses tables from document images
◦ Implemented in python using X-Y cut algorithm along with a pre-trained Faster RCNN model
RELEVANT COURSES
• Data Structures and Algorithms, Object Oriented Analysis and Design, Database Management Systems,
Operating Systems, Algorithm Design and Analysis, Software Engineering, Compiler Design, Probability and
Statistics, Computer Networks
TECHNICAL SKILLS
• Languages: C, C++ , Python
• Development Tools: HTML, CSS, Node.js, Android Studio, Matlab & Simulink, Perforce, Web scraping
• Operating Systems : Windows, Linux
INTEREST AND HOBBIES
• Competitive programming
• Table Tennis, Badminton, Foosball
• Watching Anime, Movies, T.V Series
