Hello, I'm
Md. Ashiq Ul Islam Sajid.
Computer Science graduate focused on machine learning and data science, currently building AI/ML backend systems and publishing research.
I am a Computer Science graduate from BRAC University with a focus on machine learning and data science.
I have published 10 research papers and have 4 under review, including three presented at international conferences in Australia and Taiwan. I contribute to open-source projects on GitHub and I am preparing a submission to a Q1 journal and an A* conference.
BRAC University
BSc in Computer Science
Coursework: Data Structures and Algorithms, Operating Systems, Artificial Intelligence, Neural Networks, Assembly Languages, Database Systems, Digital Image Processing, Computer Architecture, Comparative Learning Algorithms, Computational Theory, Natural Language Processing.
AI and ML backend roles.
AI Backend Developer
AI/ML Backend Developer
- USA-based startup and research company.
- Moodsinger - captures and analyzes lyrical and audio sentiment of songs.
- TheraMuse - music therapy app supporting children with Down syndrome and individuals living with dementia.
Peer-reviewed research across ML, medical imaging, and NLP.
Optimizing Multimodal Transformers for Medical Image Captioning: Enhancing Automated Descriptions via AI Systems
Md. Ashiq Ul Islam Sajid, et al.
Vertical AI for Kidney Stone Detection: Knowledge-Distilled CNNs with Student-Teacher Model for Ultrasound Imaging
Md. Ashiq Ul Islam Sajid, et al.
XAI-PredictFare: Comparative Flight Fare Prediction using Machine Learning Models with Dual Explainability through LIME and SHAP
Md. Ashiq Ul Islam Sajid, et al.
Enhancing User Experience by Tackling the Cold Start Challenge in Product Recommendation System
Md. Ashiq Ul Islam Sajid, et al.
Augmented 3D U-Net Architecture for Accurate Multimodal MRI Brain Tumor Segmentation
Md. Ashiq Ul Islam Sajid, et al.
Enhanced Calorie Estimation of Solid Foods using Federated Learning and YOLO Models: A Distributed Approach for Collaborative Caloric Data Analysis
Md. Ashiq Ul Islam Sajid, et al.
A Dual-Mode LLM Framework for Medical and General Language Translation for Breaking Barriers in Healthcare Communication
Md. Ashiq Ul Islam Sajid, et al.
Customer Personality Analysis using Machine Learning with Explainable AI
Md. Ashiq Ul Islam Sajid, et al.
A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification
Md. Ashiq Ul Islam Sajid, et al.
Advancing Sentiment Analysis: Fine-Tuning LLMs and Traditional Machine Learning Models for Noisy Bangla Texts
Md. Ashiq Ul Islam Sajid, et al.
MedViT-HoVer++ (ViT): A Unified Transformer-Guided Framework for Multitask Nucleus Segmentation, Classification, and Count Regression in Histopathology Images
Md. Ashiq Ul Islam Sajid, et al.
Optimized Malaria Identification through Transfer Learning Approach
Md. Ashiq Ul Islam Sajid, et al.
Applied ML and data science work.
Selected projects spanning computer vision, NLP, and data analysis.
MedViT-HoVer++ (ViT)
Transformer-guided framework for multitask nucleus segmentation, classification, and count regression in histopathology images.
View projectMilitary Bullet Detection System
YOLOv8 pipeline with real-time CCTV inference and Weighted Boxes Fusion ensemble.
View projectBrain Tumor Segmentation
Automated brain tumor detection and segmentation using 3D U-Net and TensorFlow.
View projectMusic Annotation Prediction
MuseScore extension using Mistral 7B to grade performances with pitch, rhythm, and dynamics analysis.
View projectKidney Knowledge Distillation
Knowledge-distilled CNNs for ultrasound kidney stone detection.
View projectMusic Popularity and Sentiment Prediction
Predicts popularity and sentiment from lyrics and audio using ML models and Qwen3 8B.
View projectAI Sentiment Analysis Chatbot
Chatbot built with Django, JavaScript, and SQLite.
View projectProperty AI
RAG + LLM assistant for property discovery with FAISS vector search.
View projectSmokebot
LLM customer support chatbot that handles interruptions and changing questions.
View projectParking Management System
Car parking system built with Laravel and MySQL.
View projectEnemy Attacking Ball Game
Computer graphics game project built with PyOpenGL.
View projectCar Selling Data Analysis
Machine learning model for car price prediction.
View projectDrug Addiction Data Analysis
ML analysis and prediction for drug addiction data.
View projectBMW Price Prediction
Price prediction for BMW vehicles using machine learning.
View projectKey skills
across the stack.
Tools and frameworks used in research and production work.
Let's collaborate together.
Based in Dhaka, Bangladesh and open to research collaborations and ML engineering work.
Get in touch