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Shanjidul Islam Sadhin – AI Engineer
AI Engineer specializing in multimodal AI, LLMs, RAG systems, and MLOps. Portfolio of production-ready AI systems, research, and open-source projects. Read more
CV – Shanjidul Islam Sadhin
Curriculum vitae of Shanjidul Islam Sadhin – AI Engineer with experience in LLMs, computer vision, RAG systems, and scalable ML infrastructure. Read more
Portfolio
AI and machine learning projects by Shanjidul Islam Sadhin, including RAG systems, computer vision, NLP, and production-ready AI applications. Read more
Publications
Academic publications by Shanjidul Islam Sadhin, including research in speech emotion recognition, computer vision, and applied deep learning. Read more
Posts
Implementing Corrective RAG (c-RAG) for More Reliable LLM Systems
Published:
Building reliable Retrieval-Augmented Generation (RAG) systems is not just about retrieving more documents — it is about knowing when retrieval is wrong and how to correct it. Read more
portfolio
2D Endless Runner Game with OpenGL
Published:
Developed a 2D Chrome Dino-style endless runner game from scratch using C++ and the OpenGL graphics library (freeglut). Read more
Content-Based Fashion Recommendation System
Published:
Built an end-to-end fashion recommendation system using ResNet-50 for deep feature extraction and KNN for similarity matching. Read more
Full-Stack Podcast Management Web App
Published:
Developed a user-friendly web application for discovering, managing, and listening to podcasts, built with a classic LAMP stack. Read more
Real-Time Emotion Classification from Facial Expressions
Published:
Built a real-time emotion classification system by training a custom deep learning model and serving it via a Flask API and web interface. Read more
AIG: A Community & Career Platform for AIUB Students
Published:
Engineered a full-stack web application using ASP.NET to serve the AIUB student community with features for resume building, job searching, and networking. Read more
Kidney Tumor & Stone Classification with MLOps
Published:
Developed an end-to-end deep learning pipeline for classifying kidney tumors and stones from medical images, with a focus on MLOps best practices. Read more
SpectraClassify: No-Code Custom Image Classification
Published:
Created and published a web-based application and PyPI package that allows users to train custom image classification models without writing any code. Read more
MediChat: A RAG-Powered Medical Chatbot
Published:
Developed a specialized medical chatbot using Llama-2 and a RAG pipeline to provide accurate, source-based responses to medical queries. Read more
DeepCrawl-Chat: An Intelligent Web Crawler and RAG System
Published:
Architected and built an intelligent system for advanced web crawling, information extraction, and Retrieval-Augmented Generation (RAG) to enable conversational querying of web content. Read more
Intelligent YouTube Video Summarizer and QA System
Published:
Built a multi-interface application to download, transcribe, and summarize YouTube videos, enabling semantic search and conversational Q&A on video content. Read more
EasyQuery: A Conversational Database Query System
Published:
Designed and implemented an AI-powered conversational interface to enable natural language querying of SQL databases, abstracting away the complexity of SQL. Read more
publications
Speech Emotion Recognition using Transfer Learning Approach and Real-Time Evaluation in English and Bengali Language
Published in Pre-Print, 2023
Thesis on Speech Emotion Recognition. Read more
Recommended citation: Shanjidul Islam Sadhin. (2023). "Speech Emotion Recognition..." Pre-Print.
Download Paper
talks
Importance of data, and need for data in good quality research for computer vision
Published:
Talk emphasizing the critical role of high-quality data in computer vision research. Read more
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more