PROFILES
Leetcode
Max Rating
2047
Number of Problems solved
478
Best Rank
453
Max streak
228 days
Github
Total stars earned
10
Total commits
854
Total Repositories
45
Codeforces
Max Rating
1493 (Specialist)
Number of Problems solved
472
Best Rank
307
Atcoder
Max Rating
1202
Best Rank
377
Number of contents
31
Medium
Number of publications
4
Number of readers
32
EXPERIENCE
InterviewReady
SDE Intern
• Wrote unit tests for APIs
• Migrated the backend from Beego to a new framework
• Deployed new features and optimized many exsisting APIs
InterviewReady
Problem Setter Intern
• Prepared problems related to data structures and algorithms.
• Written editorials, and code solutions for problems.
• Written blogs on High and Low level system design
ACHIEVEMENTS
Secured a global rank of 1095 out of 34500 participants in Facebook Hackercup Qualification Round 2021
Secured a global Rank of 2140 in Google Kickstart Round B 2021
Secured All India Rank of 348 in TCS Codevita S10
Secured an All India Rank of 9 and Global Rank of 377 out of 3508 participants in Atcoder Regular contest 131
Highest rating of 1493 at Codeforces, which is the top site in terms of participation of programmers across globe
Highest rating of 2146 at Leetcode.
Highest rating of 1126 at Atcoder
Grand Finalist at Smart India Hackathon 2022
Solved 1000+ problems across multiple platforms.
SKILLS
EDUCATION
IIIT Bhubaneswar
Bachelor of Technology in CSE
CGPA: 8.24
2020 - presentDalmia Vidya Mandir
Central Board of Secondary Education
Percentage: 95.6%
2018 - 2020Nirmala English School
Percentage: 95.6%
2012 - 2018PROJECTS
Nozama
MERN stack E-Commerce App
- Allows users to buy and add items to the cart. It also allows user to write reviews about the product and also give it a rating
- Used Rate Limiting algorithms (using Node cache memory) to spikes in traffic
- Used Stripe API for payments
- Admin can add , remove and update products
Cloak
NEXTJs Social Media App
- A full stack social media app that allows users to post,like and comment on a post and also bookmark or delete it
- Machine Learning model is used to flag offensive/harmful content. Users can choose to view or ignore these posts.
- Email OTP verification is used to prevent fake accounts
- Admin dashboard to ban / verify users and add new universities.