Tanjim Islam Riju

I am Tanjim Islam Riju. I work on AI and machine learning across vision, language, and structured data. I focus on clear ideas, careful experiments, and reproducible code. I care about reliability, clarity, and real impact.

Experience

Fullstack Developer

Invicta Solutions Limited

June 2024 – Present

• Developed scalable web and mobile applications using React.js, React Native, and Node.js.
• Built and deployed containerized backend services with AWS ECS and Docker, improving system reliability by 35%.
• Designed visual elements and UI mockups using Figma and Adobe XD.
• Collaborated with design and backend teams to integrate REST APIs and assets seamlessly.

Software Engineer (JavaScript & Cloud)

Kaz Software Ltd.

July 2023 – May 2024

• Designed RESTful services in Node.js with PostgreSQL, increasing data retrieval efficiency by 25%.
• Ensured UI consistency across projects using TailwindCSS and Adobe Illustrator, reducing inconsistencies by 40%.
• Migrated microservices to AWS Lambda, improving reliability by 30% and cutting operational costs by 20%.

Backend Engineer

Infolytx

January 2023 – June 2023

• Developed REST APIs and backend pipelines using Python and PostgreSQL.
• Built internal dashboards with custom graphics using Photoshop and Dreamweaver.

Mobile Developer (Internship)

LeadSoft Bangladesh Ltd.

July 2022 – December 2022

Built mobile UI components and integrated Firebase for real-time user tracking.

DevOps Intern

DataSoft Systems Bangladesh Ltd.

January 2022 – June 2022

Automated CI/CD pipelines and managed containerized deployments using Docker and Linux servers.

UI/UX Design Assistant (Freelance/Remote)

Genex Infosys Ltd.

September 2021 – December 2021

Designed web and mobile graphics using Photoshop, Illustrator, and Dreamweaver.

Research

Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report Generation

Preprint

T.I. Riju et al.

arXiv:2508.13068

Focused on leveraging gaze data and multimodal contrastive learning to improve medical AI systems. Developed frameworks integrating vision-language models for diagnosis and report generation.

Gaze SupervisionMultimodal LearningMedical AIChest X-rayVision-Language Models

Projects

ResNet18 Pneumonia Classification (PneumoniaMNIST)

Implemented ResNet18 for pneumonia detection from chest X-rays.

Tech Stack: Python, PyTorch, Medical Imaging

VGG19 Ultrasound Classification

Implemented VGG19 in TensorFlow/Keras for ultrasound image classification.

Tech Stack: Python, TensorFlow, Keras, Computer Vision

SENet Ultrasound Classification

Applied Squeeze-and-Excitation Networks (SENet) for ultrasound image recognition.

Tech Stack: Python, Deep Learning, Medical Imaging

Breast Cancer Prediction Using Machine Learning

Explored multiple ML algorithms for breast tumor classification (benign vs malignant).

Tech Stack: Python, Scikit-learn, Machine Learning

Kidney Disease Prediction

Evaluated Logistic Regression, Random Forest, SVM, XGBoost, Gradient Boosting for CKD detection.

Tech Stack: Python, XGBoost, SVM, Random Forest

Liver Disease Prediction

Applied multiple ML models to classify liver disease likelihood.

Tech Stack: Python, Machine Learning, Healthcare

Heart Disease Prediction

Compared classical ML models for cardiovascular risk detection.

Tech Stack: Python, Logistic Regression, Decision Trees, SVM

Diabetes Prediction

Built multi-model system with Logistic Regression, KNN, SVM, RF, Gradient Boosting, XGBoost.

Tech Stack: Python, XGBoost, Ensemble Methods

Parkinson's Disease Prediction Using SVM

Developed SVM-based biomedical model for Parkinson's disease detection.

Tech Stack: Python, SVM, Biomedical Data

Emotion Prediction Using Neural Networks

Classified emotions from text using embedding layers and dense neural nets.

Tech Stack: Python, Neural Networks, NLP

Fake News Detection with FaKnow

Leveraged PyTorch-based FaKnow library to detect fake news using content and social signals.

Tech Stack: Python, PyTorch, NLP, Social Media

Book Recommendation System

Built recommendation engine using TF-IDF and cosine similarity.

Tech Stack: Python, TF-IDF, Recommendation Systems

Fraud Detection Using Decision Tree Classifier

Designed ML model for detecting fraudulent transactions.

Tech Stack: Python, Decision Trees, Fraud Detection