Gurjot Singh

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B.Tech. in Data Science and Engineering @ NIT Jalandhar

01. // Technical Stack

Languages

C++, C, JavaScript, TypeScript, Python, Golang

Web Development

React.js, Next.js, Node.js, Express.js, tRPC, gRPC, WebSockets, Prisma ORM, SQL

AI & Machine Learning

TensorFlow, Scikit-learn, OpenCV, LangChain, Deep Learning (CNN, RNN, Transformers), NLP

Environment & Cloud

Docker, Kubernetes, Linux, PostgreSQL, MongoDB, Firebase, Google Cloud

02. // Experience

Backend Lead @ CTP Portal, NIT Jalandhar

2024 - Present
  • Built and maintained backend services for NITJ's placement portal serving 1000+ students and 200+ recruiters.
  • Developed 25+ secure REST APIs for placements, verification, and job workflows.

Top Contributor @ Xceed Timetable Module

2025 - Present
  • Revamped the timetable engine for conflict-free scheduling across 10+ departments.
  • Implemented search, filtering, and Google Maps integration for 5000+ users.

Full-Stack Developer @ Third Space Travel

2026
  • Developed a travel booking platform with 30+ REST APIs using React, TypeScript, Express, and MySQL.
  • Integrated PhonePe Payment Gateway and optimized database schema using Prisma ORM.

03. // Projects

Encrypted Chat System

Golang • WebSockets • React.js • PostgreSQL

Architected a highly reliable, end-to-end encrypted messaging platform. Implemented the Double Ratchet Algorithm for perfect forward secrecy and designed robust cryptographic handshakes.

Amazon Product Review Sentiment Analyzer

Python • Scikit-Learn • Pandas • Matplotlib

Built an NLP pipeline to preprocess, vectorize, and evaluate sentiment across extensive e-commerce review datasets using a LinearSVC classification model.

04. // Coding Profiles & Achievements

Speed Quant Winner

Ranked 1st in the Main Track competing against top DSA programmers from 2nd and 3rd year at NIT Jalandhar.

LeetCode Profile

Completed 700+ problems showcasing strong DSA mastery and problem-solving skills.

Codeforces Specialist

Achieved a 1500+ rating, solved 250+ problems across multiple contests.