Hello, I'mAshiq SazidMd. Ashiq Ul Islam Sajid
Ashiq Sazid, formally Md. Ashiq Ul Islam Sajid, is a Computer Science graduate focused on machine learning, data science, and AI backend systems, currently contributing to research and product work at Sparktech and Moodifai.
Ashiq Sazid is a BRAC University Computer Science graduate with a focus on machine learning and data science.
I have published 13 research papers and currently have 4 more under review. Alongside research, I build solo and collaborative machine learning systems, contribute to open-source projects on GitHub and continue preparing submissions for a Q1 journal and an A* conference. I also recently earned the AI Prompt Engineer Level 1 certification from AI CERTs.
BRAC University
BSc in Computer Science
Coursework: Data Structures and Algorithms, Operating Systems, Artificial Intelligence, Neural Networks, Assembly Languages, Parallel, Distributed and High-Performance Computing, Image Processing, Computer Architecture, Comparative Learning Algorithms, Pattern Recognition, Computational Theory, Natural Language Processing, Blockchain and Cryptocurrencies.
Backend engineering for AI products and research.
AI Backend Developer
AI/ML Backend Developer
- USA-based startup and research company.
- Moodsinger - system for capturing and analyzing lyrical and audio sentiment from songs.
- TheraMuse - adaptive music therapy platform for children with Down syndrome, individuals with ADHD, and patients with dementia.
- Built around 32 clinically informed parameters with Q-Learning and Linear Thompson Sampling for real-time personalization.
- Uses culturally grounded Bengali folk and classical datasets and recently secured $3 million in VC funding under Dr. Mustak Ibn Ayub, University of Oxford.
Research spanning LLMs, medical imaging, recommendation systems, and explainable AI.
Federated Fine-Tuning Frameworks for Privacy-Preserving Distributed Large Language Intelligence
Md. Ashiq Ul Islam Sajid, et al.
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.
BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment
Md. Ashiq Ul Islam Sajid, et al.
Applied ML and data science work.
Selected machine learning and data science builds across research, product, and experimentation work.
Qwen2.5 LoRA Fine-Tuning
LoRA fine-tuning workflow and experiments built around Qwen2.5 models.
View projectMedViT-HoVer++ (ViT)
Transformer-guided framework for multitask nucleus segmentation, classification, and count regression in histopathology images.
View projectMilitary Bullet Detection System
Military-grade YOLOv8 pipeline built with Bangladesh Army collaboration, optimized for blurry CCTV inference.
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 plus custom models trained on 200 videos and 1,000 audio samples.
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
Django-based RAG assistant with FAISS search for natural property recommendations using location and weather context.
View projectSmokebot
Django, React, SQL, and GPT-4 chatbot that tracks interruptions and responds to the latest customer intent.
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 across AI backend, research, and open-source work.