machine learningdata sciencellms

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.

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✨ Objective

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.

12Research papers published
4Papers under review
10International conferences
🎓 Education

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.

💼 Experience

AI and ML backend roles.

Sparktech

AI Backend Developer

Moodifai

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.
📄 Publications

Peer-reviewed research across ML, medical imaging, and NLP.

IEEE Xplore, France · Nov 2024

Optimizing Multimodal Transformers for Medical Image Captioning: Enhancing Automated Descriptions via AI Systems

Md. Ashiq Ul Islam Sajid, et al.

ICAII, Washington, DC, USA · Oct 2025

Vertical AI for Kidney Stone Detection: Knowledge-Distilled CNNs with Student-Teacher Model for Ultrasound Imaging

Md. Ashiq Ul Islam Sajid, et al.

ICMLA, Boca Raton, FL, USA · Nov 2025

XAI-PredictFare: Comparative Flight Fare Prediction using Machine Learning Models with Dual Explainability through LIME and SHAP

Md. Ashiq Ul Islam Sajid, et al.

Springer, Australia · Oct 2024

Enhancing User Experience by Tackling the Cold Start Challenge in Product Recommendation System

Md. Ashiq Ul Islam Sajid, et al.

Springer, Taiwan · Nov 2024

Augmented 3D U-Net Architecture for Accurate Multimodal MRI Brain Tumor Segmentation

Md. Ashiq Ul Islam Sajid, et al.

Springer, Taiwan · Nov 2024

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.

ICITS, USA · Jan 2025

A Dual-Mode LLM Framework for Medical and General Language Translation for Breaking Barriers in Healthcare Communication

Md. Ashiq Ul Islam Sajid, et al.

ISDFS, USA · Jan 2025

Customer Personality Analysis using Machine Learning with Explainable AI

Md. Ashiq Ul Islam Sajid, et al.

ICMI, USA · Mar 2025

A Hybrid Attention-Guided Fusion Network with Grad-CAM for MPox Skin Lesion Classification

Md. Ashiq Ul Islam Sajid, et al.

ICOCT, China · Mar 2025

Advancing Sentiment Analysis: Fine-Tuning LLMs and Traditional Machine Learning Models for Noisy Bangla Texts

Md. Ashiq Ul Islam Sajid, et al.

AHTBE, Canada · Jun 2025

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.

ACM, Bangladesh · Nov 2024

Optimized Malaria Identification through Transfer Learning Approach

Md. Ashiq Ul Islam Sajid, et al.

✨ Projects

Applied ML and data science work.

Selected projects spanning computer vision, NLP, and data analysis.

Machine Learning

MedViT-HoVer++ (ViT)

Transformer-guided framework for multitask nucleus segmentation, classification, and count regression in histopathology images.

View project

YOLOv8 pipeline with real-time CCTV inference and Weighted Boxes Fusion ensemble.

View project
Machine Learning

Brain Tumor Segmentation

Automated brain tumor detection and segmentation using 3D U-Net and TensorFlow.

View project

MuseScore extension using Mistral 7B to grade performances with pitch, rhythm, and dynamics analysis.

View project

Knowledge-distilled CNNs for ultrasound kidney stone detection.

View project

Predicts popularity and sentiment from lyrics and audio using ML models and Qwen3 8B.

View project

Chatbot built with Django, JavaScript, and SQLite.

View project
Machine Learning

Property AI

RAG + LLM assistant for property discovery with FAISS vector search.

View project
Machine Learning

Smokebot

LLM customer support chatbot that handles interruptions and changing questions.

View project

Car parking system built with Laravel and MySQL.

View project
Computer Graphics

Enemy Attacking Ball Game

Computer graphics game project built with PyOpenGL.

View project

Machine learning model for car price prediction.

View project

ML analysis and prediction for drug addiction data.

View project

Price prediction for BMW vehicles using machine learning.

View project

Key skills
across the stack.

Tools and frameworks used in research and production work.

Programming and BackendPython, Django, Flask, FastAPI.
Machine LearningTensorFlow, PyTorch, Keras, scikit-learn, Hugging Face.
LLMs and RAGLangChain, LlamaIndex, fine-tuning, prompt engineering, DeepSeek, LLaMA, Qwen, GPT, Ollama.
Data SciencePandas, NumPy, Matplotlib, Seaborn, SQL, MongoDB.
Cloud and DevOpsAWS, Azure, Kafka, Docker, Linux, Git.
Blockchain and Web3Solidity, Truffle, Ethereum, Hyperledger Fabric, Ganache, MetaMask, Web3.js, ERC-721.

Let's collaborate together.

Based in Dhaka, Bangladesh and open to research collaborations and ML engineering work.

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