an AI Engineer & Research Enthusiast passionate about:
- Machine Learning, Deep Learning, and Generative AI
- Computer Vision & Natural Language Processing
- Healthcare Informatics and Medical Imaging
π Explore my Projects below, or head to the page to interact with me!
Experience and Education
AI Engineer at HawkEyes Digital Monitoring Limited
Jan 2024 β Present
Prepared datasets, trained and fine-tuned models, and optimized accuracy for real-world AI applications.
Research Assistant (Remote) at Queensland University
June 2024 β Present
Developed a hybrid graph-based brain glioma grading system using 3D MRI datasets.
Junior Front-End Developer
Jan 2024 β Feb 2024
Designed a responsive news portal template for publishers and bloggers.
Research Lab Member (HIRL Lab - DIU)
Jan 2023 β Dec 2023
Worked on medical image disease detection, sentiment analysis, and integrated computer vision with advanced ML algorithms.
B.Sc. in Computer Science and Engineering at Daffodil International University (DIU)
Jan 2020 β Dec 2023
Projects
π Unilever Bangladesh AI Pipeline
Built a YOLO-based AI pipeline for object detection, voice recognition, auto-segmentation, facial recognition attendance, and eyeball tracking R&D, deployed with FastAPI on Vast.ai cloud servers
π Cigarette Display Analysis for BAT
Led cigarette display analysis using image processing, creating algorithms for box segmentation, size measurement, distance calculation, and sequence validation, with AR/VR for 3D visualization to ensure compliance.
π§ AI-Powered Face & Voice Login
Designed a real-time multimodal authentication system using deep face recognition (MTCNN + InceptionResnetV1 + KNN-GNN) and speech-based identity verification (ML, DL & SpeechBrain), achieving secure and efficient biometric login.
π OCR Automation
Developed an automated OCR pipeline to extract item names, quantities, and prices from market receipts that demonstrates end-to-end implementation of computer vision and data extraction solutions for retail automation.
πΌοΈ GUI Tool for Image Perspective Transformation
The application enables users to upload or paste images, apply perspective transformations interactively, and save or copy the transformed images. It is designed to be user-friendly, to manipulate images with ease.
𧬠Graph Radiomics for Breast Tumor Detection
This project applies Gamma correction and CLAHE to enhance ultrasound images, from which radiomics features are extracted. Pretrained models and a CNN-LSTM architecture are utilized alongside a proposed GNN to model feature relationships and accurately classify benign or malignant.
π¬ Portfolio Q&A AI Chatbot
This project is an AI-powered Portfolio Q&A Chatbot built using Flask and LangChain. It uses GPT-4.1-Nano as the LLM and retrieves answers from your PDF portfolio data through a RAG pipeline. The system combines Hugging Face sentence embeddings with Pinecone vector storage.
π Bangla LLM Text Summarizer
Build Bangla text summarizer using Unslothβs Gemma-3-4b, fine-tuned with LoRA on custom Bangla data, exported to GGUF for lightweight inference, and powered by Ollama for offline use. The sleek Flask + Tailwind CSS chat UI lets users paste articles and get instant, accurate summaries.
Skills
Python - C - C++
Machine Learning - Deep Learning - Computer Vision
PyTorch - TensorFlow - LangChain
FastAPI - FlaskAPI - Django Rest API
LLM - RAG - AI Agent
HTML - Tailwind CSS
Git - GitHub - Docker
Powerpoint - Illustrator
Publications
π Automated Detection of Age-Related Macular Degeneration
Journal of Intelligent Systems with Applications, 2024
Built a CNN-LSTM based system to detect AMD from retinal fundus images.
π A Hybrid Radiomic Graph Neural Network for 3D MRI Glioma Grading
Journal on Knowledge Based Systems, 2025 (Under Review)
A novel hybrid architecture that could be used to grade glioma tumors reliably and accurately utilizing 3D MRI data.
Blog Posts
DIU Smart Campus OpenGL Project
Exploring how deep learning and medical imaging are reshaping modern diagnostics.
Read More β
Grounding DINO + SAM + Stable Diffusion
A beginner-friendly introduction to how GNNs learn from structured graph data.
Read More β
How Neural Networks Simulate Logic Gates
An overview of how foundation models are transforming creative and technical domains.
Read More βTravel Gallery