AI RESEARCHER · MACHINE LEARNING ENGINEER

Hrithik
Majumdar Shibu

|

MSc Artificial Intelligence candidate at the University of Essex, with 8 peer-reviewed publications at EMNLP, COLING, and IEEE venues. Passionate about NLP, Computer Vision, and building AI systems that solve real human problems.

8
Publications
EMNLP
Top Venue
3.61
BSc CGPA
40+
GitHub Repos
Hrithik Majumdar Shibu
📍 Colchester, England
OPEN TO
PhD & JOBS

Researcher. Engineer.
Educator.

I'm a recent MSc Artificial Intelligence graduate from the University of Essex, with a passion for pushing the boundaries of NLP, Computer Vision, and Agricultural AI. My academic journey spans from Bangladesh to England, grounded in a strong 3.61 CGPA BSc from SUST.

I've contributed to 8 peer-reviewed publications at prestigious venues including EMNLP, COLING, and multiple IEEE conferences. This research experience — spanning Bangla NLP, disease detection, and crop prediction — reflects my ability to turn complex ideas into publishable, reproducible science.

Before coming to Essex, I spent 1.5 years as a Lecturer at R. P. Shaha University, teaching core AI & CS concepts to 40–60 students while co-supervising final-year projects that led to 6 IEEE papers. That experience sharpened my technical communication and collaborative research skills.

I am actively seeking PhD positions in AI/ML/NLP as well as junior AI engineering roles starting mid-2026. If you're looking for a motivated, publication-backed researcher who bridges theory and practice — let's talk.

Core Competencies

Deep Learning
NLP & LLMs
Computer Vision
PyTorch
Transformers
Scikit-Learn
Data Science
Python
Research Writing
Hugging Face
OpenCV
TensorFlow
ML Regression & Classification
Advanced Learning Algorithms
Intro to Deep Learning
EDA for Machine Learning
ML Explainability

8 Peer-Reviewed
Publications

Contributions spanning Natural Language Processing, Computer Vision, and Agricultural AI — published at EMNLP, COLING, and multiple IEEE conferences.

2025
IndoNLP @ COLING-2025 · NLP
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
Hrithik Majumdar Shibu, Shrestha Datta, MD. Sumon Miah, Nasrullah Sami, Mahruba Sharmin Chowdhury, Md. Saiful Islam
↗ doi.org/10.48550/arXiv.2501.09604
2023
BLP @ EMNLP-2023 · NLP
Detecting Communal Violence in Bangla Texts: An Exploration of MLM and Weighted Ensemble Techniques
Hrithik Majumdar Shibu, Shrestha Datta, Zhalok Rahman, Shahrab Khan Sami, MD. Sumon Miah, Raisa Fairooz, Md. Adith Mollah
↗ aclanthology.org/2023.banglalp-1.25
2025
ICCIT @ IEEE-2025 · Computer Vision
Deep Learning Architectures for Real-Time Monkeypox Detection: A Comparative Study of CNNs, Transformers, and Siamese Networks
Sakib Azmain Sahil, Badhan Rani Das, Hrithik Majumdar Shibu, Aisha Hayder Chowdhury
2025
EICT @ IEEE-2025 · Computer Vision
Recognition of Fabric Construction Types with CNNs and Transformers: Knit, Woven, and Non-Woven Fabrics
Shohag Babu, Meherun Nesa, Md. Selim, Hrithik Majumdar Shibu
↗ ieeexplore.ieee.org/abstract/document/11355599
2025
ICCIT @ IEEE-2025 · Computer Vision
Visual Classification of Ten Region-Specific Flower Species in Bangladesh Using Hybrid CNN and Vision Transformers
Sayma Islam, Ommey Habiba Sowme, Toukir Hossain, Hrithik Majumdar Shibu
2025
STI @ IEEE-2025 · Agricultural AI
Quantile-Based Crop Production Classification in Bangladesh Using AI Techniques on Multisource Agro-Environmental Data
Md. Siam, Navid Hasan Radiat, Mst. Afroza Akter, Dr. Kingkar Prosad Ghosh, Hrithik Majumdar Shibu
↗ ieeexplore.ieee.org/abstract/document/11367573
2025
ICCIT @ IEEE-2025 · Agricultural AI
Crop Production Prediction in Bangladesh on Quantile-Based Agricultural Data: A Comparative AI-Based Approach with Novel SAINT Model
Md. Siam, Kingkar Prosad Ghosh, Hrithik Majumdar Shibu
↗ researchgate.net/publication/403028237
2026
HSPC @ IEEE-2026 · Benchmarking
HyperBench-7: An Innovative Multi-Modal Benchmark for Comprehensive Model and Hyperparameter Selection
Nusrat Ahamed Kona, Durjoy Saha Palok, Hrithik Majumdar Shibu, Shovan Kumar Paul, Anupam Singha

Selected Work

01
NLP · Dataset · LLM
Bangla Fake News Detection

Built one of the largest Bangla fake news datasets — 60,000+ articles (13K fake, 47K authentic). Implemented classification using BERT, SVM, and Logistic Regression. Findings published at COLING-2025.

→ View on GitHub
02
Computer Vision · OCR
Automatic Number-Plate Detection

Real-time vehicle plate detection system for Bangladeshi vehicles using OpenCV, EasyOCR, and TensorFlow. Enhances road security by detecting and logging number plates on highways.

→ View on GitHub
03
Web App · Healthcare · ML
Disease Prediction Application

Knowledge-based web app built with Django that predicts risk of multiple diseases from health data. Applies SVM, Logistic Regression, and Neural Networks after research on medical datasets.

→ View on GitHub
04
NLP · Research
EMNLP BLP Shared Task

Implemented MLM-based and weighted ensemble techniques for detecting communal violence in Bangla text. Participated in the official BLP shared task at EMNLP-2023.

→ View on GitHub
05
ML · Research
MSc Thesis Research

Ongoing MSc thesis at University of Essex — applying advanced deep learning techniques to cutting-edge AI problems in collaboration with the CSEE department.

→ View on GitHub
06
ML · Finance
ML Projects Portfolio

A collection of ML experiments and coursework projects spanning classification, regression, and unsupervised learning — demonstrating broad technical competency across domains.

→ View on GitHub

Where I've Been

Sept 2025 — Present
MSc Student — Artificial Intelligence
University of Essex · Colchester, England
  • Studying Deep Learning & Neural Networks, NLP/Text Analytics, Machine Learning for Finance, Intelligent Systems & Robotics, and Game AI.
  • Actively conducting independent research leading to ongoing publications.
Sept 2024 — Oct 2025
Lecturer — Computer Science & Engineering
R. P. Shaha University · Narayanganj, Bangladesh
  • Taught undergraduate AI, ML, and programming courses to classes of 40–60 students.
  • Co-supervised final-year student projects in deep learning and image classification.
  • Contributed to 6 jointly-authored IEEE conference papers published in 2025.
  • Developed course materials, lesson plans, and tutorials for multiple modules.
Apr 2019 — Nov 2022
Research Data Annotator & Event Volunteer
Shahjalal University of Science & Technology · Sylhet, Bangladesh
  • Annotated NLP datasets for 'Emonoba' (fine-grained Bangla emotion analysis) and 'Bangla Word Stemming' research projects.
  • Organised LICT TECH FEST 2019 as Public Relations Coordinator.
  • Volunteered at ICBSLP-2019 conference, supporting researchers in presenting and publishing papers.

Technical Expertise

🐍

Programming

Python95%
JavaScript70%
C++ / Java72%
SQL68%
PHP / HTML65%
🧠

ML / Deep Learning

PyTorch88%
Scikit-Learn90%
TensorFlow/Keras80%
NumPy / Pandas92%
OpenCV78%
💬

NLP & LLMs

Hugging Face / BERT88%
Text Classification92%
Sentiment Analysis85%
LLM Prompting80%
Low-Resource NLP90%
👁

Computer Vision

CNNs86%
Vision Transformers80%
Image Classification88%
Object Detection75%
Siamese Networks72%
🔧

Dev Tools

Git / GitHub85%
Jupyter Notebook92%
Django72%
Laravel65%
VS Code90%
📊

Research Skills

Paper Writing88%
Dataset Construction85%
Exp. Design82%
Data Annotation90%
Statistical Analysis78%

Academic Foundation

MSc
MSc Artificial Intelligence
University of Essex · Colchester, England
Sept 2025 – 2026 (Ongoing)
Deep Learning
Neural Networks
Text Analytics
Machine Learning
Intelligent Systems
Robotics
Game AI
ML for Finance
3.61
BSc Computer Science & Engineering
Shahjalal University of Science & Technology · Bangladesh
Jan 2019 – Feb 2024 · CGPA: 3.61/4.00
Artificial Intelligence
Machine Learning
Data Science
Computer Networks
Database Systems
Algorithms
Computer Security
Computer Graphics

Let's Build Something
Together

Open to PhD Opportunities & AI Roles

I'm currently seeking PhD positions in AI, NLP, and Computer Vision, as well as Junior ML Engineer roles from mid-2026. I bring a unique blend of research publication experience, teaching background, and hands-on engineering skills.

hrithik11804064@gmail.com
PHONE
+44-07920-765667
LOCATION
Colchester, England
LANGUAGES
English (C1) · Bengali (Native)