I am an AI, Machine Learning, and Data Science Engineer dedicated to turning complex data into high-performance, intelligent products. I specialize in designing end-to-end computer vision and NLP models, optimizing deep neural networks, and creating interactive user interfaces to showcase data insights.
const profile = {
title: "AI, Machine Learning & Data Science Engineer",
focus: "Building state-of-the-art computer vision models, NLP pipelines, and interactive AI web applications",
specialization: ["Deep Learning & CNNs", "Natural Language Processing (NLP)", "Exploratory Data Analysis & ETL"],
motto: "Turning complex datasets into elegant, production-ready intelligent solutions."
};π€ AI, Machine Learning & Deep Learning
| Technology | Badge | Category |
|---|---|---|
| Python | Core Language | |
| TensorFlow | Deep Learning Framework | |
| Keras | Deep Learning API | |
| PyTorch | Deep Learning Framework | |
| Scikit-Learn | Machine Learning | |
| OpenCV | Computer Vision |
π Data Engineering & Analytics
| Technology | Badge | Category |
|---|---|---|
| Pandas | Data Wrangling | |
| NumPy | Numerical Computing | |
| Microsoft Excel | Business Intelligence | |
| Power Query | Data Transformation |
π Frontend & Presentation
| Technology | Badge | Category |
|---|---|---|
| Streamlit | ML Web Apps | |
| HTML5 | Structure | |
| CSS3 | Styling | |
| JavaScript | Interactivity |
π οΈ Tools & Environments
| Technology | Badge | Category |
|---|---|---|
| Jupyter | Notebook Environment | |
| Git | Version Control | |
| GitHub | Project Collaboration |
| Project Name | Core Value / Description | Tech Stack | Link |
|---|---|---|---|
| π Blood Cell Classifier | Medical Image Classification web app using Deep CNNs to identify 4 types of blood cells with 98.5% accuracy. | Python, TensorFlow, Streamlit | Code & Demo |
| π° Fake News Detector | End-to-end NLP pipeline using ensemble Machine Learning and Streamlit to detect misinformation in real time. | Python, NLP, Scikit-Learn, Streamlit | Code & Demo |
| πΌοΈ Image Processing Tool | Interactive desktop app for edge detection, adaptive segmentation, and morphological operations with live slider controls. | Python, OpenCV, PyQt5 | Code & Demo |
| π‘ Boston Housing Predictor | Machine Learning regression model balancing Bias-Variance tradeoff to predict housing prices with GridSearchCV. | Python, Scikit-Learn, Jupyter | Code & Demo |
