GameHub
A multi-game platform built on a unified backend architecture, with JWT-based authentication and real-time multiplayer Ludo through Socket.IO.
Tara Chand
Focus areas: |
B.Tech undergraduate at Indian Institute of Technology Guwahati, with full-stack development experience at Outsyde and project work spanning backend systems, data science, machine learning, and competitive programming.
I am a B.Tech undergraduate at IIT Guwahati whose work connects software engineering, data and machine learning, and algorithmic problem solving. This combination enables me to design dependable applications, analyse data rigorously, and approach technical problems with strong computational fundamentals.
Full-stack applications, backend APIs, real-time communication, and relational database architecture.
Data analysis, classical machine learning, deep learning, and evidence-grounded AI applications.
Algorithms and data structures developed through consistent competitive programming practice.
Selected work in full-stack engineering, backend systems, data science, machine learning, and applied AI.
A multi-game platform built on a unified backend architecture, with JWT-based authentication and real-time multiplayer Ludo through Socket.IO.
A traffic disruption command center that applies gradient-boosting models to incident prediction and severity analysis, achieving 0.989 ROC-AUC.
An evidence-grounded document intelligence platform combining hybrid retrieval, source-linked answers, and unsupported-query refusal.
A terminal text editor written in C++17, using a singly linked list to support line creation, editing, search, and deletion.
A deep-learning image colorization system that predicts chrominance in CIE Lab space while preserving source-image brightness.
A business intelligence system that detects material KPI changes, retrieves supporting evidence, and produces citation-checked explanations.
An automated Hangman agent that combines two Bidirectional LSTM models with information gain and letter-frequency signals.
Silver Flag · Top 75 among 30K+ registrations · Bangalore finals
Top 1.9% among 47K+ participants
Top 4.4% among 35K+ participating teams
Semifinalist among 150K+ participants nationwide
Semifinalist among 60K+ participants
Global Rank 886 among 20K+ in Round 1117 (Div. 2)
Profile ↗Max rating 1650 · Global Rank 146 among 5K+ in Starters 236
Profile ↗Active on Codeforces, LeetCode, CodeChef, and AtCoder — focused on algorithms, data structures, and competitive problem solving.
A focused toolkit supported by the engineering and data projects presented above.
I welcome opportunities in software engineering, full-stack development, data science, and machine learning.
Alternate email: tarachandgarg79@gmail.com