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I'm someone who genuinely enjoys solving real-world problems with data and code, from building AI-powered applications that automate tedious workflows, to researching how machine learning models can be made more transparent and trustworthy. I have a strong pull toward research and innovation, and I'm constantly exploring emerging tools in Agentic AI, MLLMs, and Computer Vision. I care about clean, well-tested, and scalable solutions as much as I care about the ideas behind them. 📌 Open to
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| Degree | Institution | Year |
|---|---|---|
| B.Sc. in Computer Science and Engineering | Ahsanullah University of Science and Technology | 2019 – 2023 |
| Bachelor of Science | Khulna University of Engineering & Technology | 2018-2019 ( Admitted (Not Continued) ) |
| Higher Secondary Certificate | Notre Dame College | 2015 – 2017 |
| Secondary School Certificate | Ideal School and College | 2005 – 2015 |
| Thesis Title | Link |
|---|---|
| Identifying Gene–Disease Association through Graph Embedding and Machine Learning | Thesis Paper Link |
Please click on the publication title to access the full article and explore the research details.
🤖 AI Agents & LLM Systems
| Project | Stack | Link |
|---|---|---|
| Intelligent Invoice Data Extraction System | Vision + PDF Parsing + LLM + FastAPI | Repository |
| Multi-Agent Instagram Content Creation System | CrewAI + OpenAI API | Colab |
| Hybrid Medical AI Agent | SQLite + Web Search + LLM Routing | Repository |
| AI-Powered Article Summarizer with Email Automation | FastAPI + n8n + OpenAI API | Repository |
| AI-Powered LinkedIn Post Generator | LangChain + Transformers | Repository |
| LinkedIn Post Generator API | FastAPI + OpenAI API | Repository |
| Real-Time Heart Disease Risk Prediction System | ML + FastAPI + Docker | Repository |
| Fine-Tuning Transformers for Question Answering | Hugging Face Transformers | Google Colab |
📊 Machine Learning & Data Science
| Project | Highlight | Link |
|---|---|---|
| Detecting Bangla Cyberbullying in Social Media | Compared Logistic Regression, Naive Bayes, Random Forest, Decision Tree, KNN | Repository |
| Sentiment Analysis on Tweet Dataset | Bag-of-Words model, evaluated via accuracy/precision/recall/F1 | Repository |
| Chest X-Ray Viral Infection Detection | CNN model, ~61.26% accuracy | Repository |
| Regression Models on Housing Dataset | Regression benchmarking | Google Colab |
| Diabetes Detection System | Classification pipeline | Google Colab |
| Clustering using Iris Dataset | Unsupervised learning | Google Colab |
| MNIST Digit Classifier | Neural Network | Google Colab |
| Image Classification: NN vs CNN (Fashion MNIST) | Architecture comparison | Google Colab |
| Predicting Employee Attrition | Classification modeling | Repository |
| Credit Card Fraud Detection Analysis | Imbalanced classification | Repository |
| Student Result Analysis | Regression modeling | Repository |
| COVID-19 Cases Prediction in Bangladesh | Linear Regression | Repository |
| Transfer Learning for NLP with TensorFlow Hub | Transfer learning | Repository |
📈 Data Analysis & BI
| Project | Tool | Link |
|---|---|---|
| BPL Dataset Analysis | Python | Repository |
| IPL Dataset Analysis | Python | Repository |
| Daraz Bangladesh Headphone Sales Analysis | Python | Repository |
| Employee Attendance Analysis Dashboard | Power BI | Repository |
🧪 Software Quality Assurance Work
| Type | Description | Link |
|---|---|---|
| Manual Testing | Test case writing & requirement analysis | Repository |
| API Testing | Postman-based endpoint validation | Repository |
| Automation Testing | Selenium-based automated test suite | Repository |
💻 Full-Stack & Applied Software Projects
| Project | Stack | Timeline |
|---|---|---|
| EducationUnlocked — Education Platform | PHP, JavaScript, HTML, CSS, Bootstrap | Feb – Apr 2022 |
| CarMax — Car Selling Platform | PHP, HTML, CSS, Bootstrap | Sep – Nov 2021 |
| Around Bangladesh — Travel Android App | Java | Mar – Apr 2021 |
| Hospital Management System | Java, MySQL | Sep – Nov 2021 |
Click on the ▶ icon provided in the interface to explore my projects and learn more about my work.
