
Experienced computer science graduate with a Bachelor of Technology focused in Computer Science from Kurukshetra University, and a solid understanding of Data Structures & Algorithms. Some of achievements in competitive programming includes Qualified ICPC Regionalist, 2100+ Rated Codechef and Expert on Codeforces. Currently building the way community solve algorithmic challenges. Leading a team of problem setters and added 2000+ DSA challenges. Mentored 100s of coders as a Teaching Assistant in professional training & coaching industry. Worked on tech stacks Spring Boot, Java and familiar with React, Python, C++, NoSQL, and different Design Patterns.
Work Experience

Member of Technical Staff
Coding Ninjas India
Jan 2021 - Present
Lead Contest, Test Series and Problem Setting Vertical, and a team of ~40 interns to contributed 2000+ algorithmic challenges. Minimize report issues of 100s of thousands users.

SDE Intern
VirSoftech Pvt. Ltd Noida
Jan 2020 - Mar 2020
Refactor codebase of 2000+ lines to add support for user design templates and resource files to store in AWS S3. Collaborate with colleagues tested API's. Skills learn Java, Rest API, Exception Handling, OOPs.

Problem Setter|Reviewer
Coding Ninjas
July, 2020 - Dec, 2020
Create coding interview problems. Explain detailed editorials, write well commented code solutions, and create test cases.

Teaching Assistant
Coding Ninjas
2018 - 2019
Take doubt sessions in DSA & competitive programming course and debug codes solutions of 100s of users.
Skills
Education

B.Tech CSE
UIET KUK
Jun 2016 - July 2020
Scored CGPA of 7.6. Studied Computer Science Engineering incuding a variety of topics like C++, Java, Data Structures, Design and Analysis of Algorithms, Web Technologies, different computer science fundamentals including Operating Systems, Database Management System etc.

AISSCE(12th)
D.A.V Public School
April 2014 - May 2015
Score 91.6%(95% PCM). Studied the fundamentals of Science(Physics, Chemistry) and Mathematics.

AISSE(10th)
D.A.V Public School
April 2012 - May 2013
Score CGPA of 9.6. Studied the fundamentals of English, Hindi, Science, Social Studies and Mathematics.
Portfolio

QEats
Qeats is a food ordering app that allows users to order food from nearby restaurants. Used: Spring Data, MongoDB, Redis.

QMoney
QMoney is a visual stock portfolio analyzer. It helps portfolio managers make trade recommendations for their clients. Used: Spring Boot, Jackson, Interfaces.

Text Classification
Classification of text news with an accuracy of ~70% using self implemented Naive Bayes Algorithm. Used Python, Scikit-Learn and Jupyter Notebook.

Decision Tree Algorithm
Implementation of Decision Tree Classifier in Python. Used Iris Dataset to classify flowers into different categories.

AntiRagging App
An Android App for our University. This app enables user to explore all the helpline numbers of University. Using this app we can track location of user and share with all the helpline numbers.
Contact
Get in touch
If you have any oppurtunities that you feel i'm eligible for. If you are someone whom I can mentor or help in any of the areas that you think i m capabe of.