Welcome to my portfolio

Hi, I'm Miraz

M.Tech in Computational Materials Engineering at IIT Roorkee

Machine Learning • Computer Science • Research

About Me

My journey in tech and research

Profile Picture

I'm a passionate final-year student eager to learn new technologies and gain practical industry experience. Currently pursuing M.Tech at IIT Roorkee, I'm focused on machine learning, materials science, and computational methods.

I've published research on deep learning applications and love building projects that solve real-world problems. My journey spans from strong fundamentals at Aliah University to advanced research at one of India's premier institutes.

Education

2026–

M.Tech

Computational Materials Engineering

IIT Roorkee

2022–2026

B.Tech

Computer Science & Engineering

Aliah University

Achievements

GATE Qualified

All India Rank 2763 in GATE CS 2025

IEEE Publication

Co-author on Image Processing Conference 2025

Skills

Technologies and tools I work with

Programming

PythonC++JavaJavaScript

Machine Learning

TensorFlowScikit-LearnPandasNumPy

Web Development

HTMLCSSJavaScriptReactNext.js

Tools & Platforms

GitLinuxVS CodeSQLDocker

Featured Projects

Work that showcases my expertise

Drought Prediction using Machine Learning

Predictive model for drought analysis using SPI-6 indices and machine learning algorithms focused on Northeast India rainfall forecasting.

Machine LearningPythonRainfall Data

Lung Disease Classification

Deep learning model using U-Net architecture for chest X-ray classification to detect COVID-19 and pneumonia. Published research.

Deep LearningTensorFlowMedical Imaging

Water Footprint Calculator

Interactive web application to estimate water usage of products and provide sustainability tips for reducing personal water footprint.

HTMLCSSJavaScript

Image Recognizer Web App

Browser-based image recognition application using TensorFlow.js and MobileNet model for real-time object detection.

TensorFlow.jsReactWeb ML

Publications

Research and papers

Lung Image Classification for Detection of COVID-19 and Pneumonia using Deep Learning

Published

Syed Miraz Ali, et al.

2025 International Conference on Computing, Intelligence, and Application (CIACON)2025

View Paper

Get in Touch

Let's collaborate and create something amazing together