Indian Institute of Technology Gandhinagar
M.Tech. in Artificial Intelligence, CGPA 7.55/10
M.Tech. Artificial Intelligence at IIT Gandhinagar
Shivansh Gupta
I build practical systems at the intersection of full-stack engineering, machine learning, and problem solving. My work spans AI chat products, scalable web apps, and thesis research on speech-based depression screening.
1500+DSA problems solved
1746LeetCode max rating
1582CodeChef max rating
About
Interested in the Intersection of Systems and Artificial Intelligence
I am currently pursuing an M.Tech. in Artificial Intelligence at IIT Gandhinagar after completing my B.Tech. in Information Technology from NIT Raipur. One of my key projects is a two-part distributed systems build: a user-space AFS with caching and replication, and a coordinator-worker distributed prime finder layered on top of it.
Education
Academic foundation
National Institute of Technology Raipur
B.Tech. in Information Technology, CGPA 8.05/10
Government Inter College, Prayagraj
Class XII, 83.60%
Government Inter College, Prayagraj
Class X, 83.80%
Skills
Core strengths
C++
JavaScript
React
Node.js
Express.js
MongoDB
JWT
SQL
Git
Problem Solving
Key coursework
Computer Programming, OOP, DAA, Data Structures, DBMS, Operating Systems, Distributed Systems.
Projects
Selected work
MERN-GPT
A chatbot application with Gemini Pro integration, persistent chat history in MongoDB, conversation deletion, and JWT-based authentication.
URL Shortener App
A clean URL shortener that generates compact links and redirects users to the original destination through a React frontend and Node.js backend.
Speech-based Depression Screening
Thesis work using wav2vec2 and LSTM units to condition on prior speaker data from RAVDESS, reaching close to 90% validation and test accuracy.
AFS + Distributed Prime Finder
Implemented in C as a two-part system: a user-space AFS with whole-file caching and replication, plus a coordinator-worker prime finder with snapshots and recovery.
It also includes fault-tolerant snapshotting and recovery to resume work after failures.
Responsibility
Teaching Assistant
SME of Computer Science, Chegg India
Solved selected OOP and algorithms problems from Oct 2021 to Jan 2022.
TA, ES 112-COMPUTING
Graded exams for 380+ students and supported lab problem solving from July 2024 to Nov 2024.
TA, ES 114-PSDV
Invigilated quizzes and exams from Jan 2025 to Apr 2025.
Achievements
Competitive Coding profile
CodeChef Starters 88
Global rank 196
CodeChef Starters 112
Global rank 322
JEE Main
AIR 17732, top 1.8%
JEE Advanced
89/372 on first attempt
Profiles