Ghulam Haider

M.Tech Student in Computer Science & Engineering

Indian Institute of Technology Ropar

|

About Me

I am a passionate Computer Science graduate student at IIT Ropar, specializing in Deep Learning, Computer Vision, and Full-Stack Development. Currently pursuing my Master's thesis on Fine-grained Hate Meme Detection using multimodal AI techniques.

With a strong foundation in algorithms, machine learning, and software engineering, I excel at building scalable solutions that bridge research and real-world applications. My work spans from IoT systems to advanced deep learning models deployed in production environments.

I'm currently serving as a Teaching Assistant for Operating Systems at IIT Ropar and actively seeking opportunities to apply my skills in innovative projects and research.

8.46
M.Tech CGPA
99.12
GATE Percentile
4+
Major Projects
10+
Technologies

Education

M. Tech in Computer Science & Engineering

Indian Institute of Technology, Ropar

2024 - 2026 CGPA: 8.46

B. Tech in Computer Science & Engineering

Department of Computer Science Engineering, University of Calcutta

2019 - 2023 CGPA: 7.33

Senior Secondary

Bihar State Education Board, Patna

2018 65.4%

Featured Projects

Fine-grained Hate Meme Detection

July 2025 - Present

  • Master's Thesis: Multimodal deep learning model with ViT and BERT
  • Targeting 85%+ accuracy on benchmark datasets
  • Scalable inference pipeline with Docker and Django REST API
PyTorch TensorFlow BERT ViT Django Docker
View on GitHub

FarmFlow - Smart Milk Collection App

Jan 2025 - May 2025

  • Full-stack Android app with Flutter and Firebase
  • Real-time route optimization and dynamic pricing
  • Cloud-based data storage with Firestore
Flutter Firebase Firestore Android
View on GitHub

Air Quality Monitoring System

Feb 2025 - May 2025

  • End-to-end IoT system using ESP32 microcontroller
  • Real-time monitoring of CO, PM, temperature, humidity
  • Live web dashboard for visualization and analysis
ESP32 C/C++ Firebase JavaScript
View on GitHub

Referring Video Object Segmentation

Feb 2025 - May 2025

  • High-performance video segmentation at 10 FPS
  • Custom tracking algorithm for temporal coherence
  • NLP-based query understanding with CLIP integration
Python OpenCV CLIP NLP
View on GitHub

Deepfake Image Detection using Hybrid ViENet-B3

Jan 2025 - May 2025

  • Designed and implemented a deepfake detection pipeline combining Vision Transformer (ViT) with patch-wise self-attention and EfficientNet-B3 CNN for robust feature extraction.
  • Preprocessed and trained models on benchmark datasets (FaceForensics++, Celeb-DF, DFDC), achieving high accuracy in real vs. fake classification.
  • Optimized training with multi-GPU distributed learning and mixed precision for improved efficiency and scalability.
Python PyTorch Transformers OpenCV Scikit-learn
View on GitHub

Stock Market Forecasting

Aug 2022 - May 2023

  • Bachelor’s Thesis: Developed a multivariate LSTM-based time-series forecasting model to predict 30-day stock price trends.
  • Built a Flask web application to serve predictions and visualize historical and forecasted stock data for user-selected companies.
Python TensorFlow Keras Scikit-learn Pandas Flask
View on GitHub

Technical Skills

Programming Languages

C++ Python Java SQL JavaScript

Frameworks & Libraries

Flask SkyPilot PyTorch TensorFlow Scikit-learn OpenCV

Databases & Tools

MySQL Firebase Git Docker AWS LaTeX

Specializations

IoT Deep Learning Computer Vision NLP Machine Learning

Achievements

GATE 2024 - Computer Science

Secured 99.12 percentile among 123,967 candidates

2024

JEE Advanced 2019

Secured 97.9 percentile among 1,147,125 candidates

2019

WBJEE 2019

Secured 99.2 percentile among 113,912 candidates

2019

Poster Presentation

"Smart Milk Collection System" selected for 3rd ICA-25 at IIT Guwahati

2025

Teaching Assistant

Operating System

july. 2025 - Dec. 2025

Big Data : Tools & Techniques

Jan. 2026- May. 2026

at IIT Ropar

Get In Touch

Location

IIT Ropar, Punjab, India

{% endcomment %}