Rizwan Muzammmal | Expert in Python-Driven Machine Learning & Deep Learning Solutions

Rizwan Muzammmal

Expert in Python-Driven Machine Learning & Deep Learning Solutions

Based in Gujranwala,Pakistan

About

Freelancer|EX MLE@DEV Valley I am a Python Machine learning developer with an academic background in Statistics from Punjab University. My professional journey is marked by training and hands-on experience in machine learning, deep learning, and computer vision, through impactful internships and freelance projects. My career took a strategic turn with a focused internship in machine learning and deep learning at Dev Valley, followed by an advanced stint in computer vision at the prestigious SINES AR Lab at NUST. These experiences not only deepened my technical expertise but also enhanced my ability to innovate and implement effective solutions. Over the past year, I have successfully managed and delivered five freelance projects in machine learning and data analytics.

Skills

Projects

Video Summarization Based on the Object of Interest Using Deep Learning Compuer vision

This project aims to develop a deep learning-based video summarization framework that allows users to efficiently summarize large volumes of surveillance video data, focusing specifically on predefined Objects of Interest (OoI) , for more information read the attached review paper.

Facial-Recognation-Emotions-Classification

This project involves to build a real-time emotion detection system that utilizes facial recognition technology and machine/deep learning to identify various emotions from a webcam feed. The system provides immediate feedback by displaying the detected emotion through images and names on the screen

Lung and Colon Cancer Histopathological Image Classification

This project involves the development of a deep learning-based application for classifying histopathological images of lung and colon tissues. The model is trained to distinguish between five different tissue types: lung benign tissue, lung adenocarcinoma, lung squamous .

Brain Tumor Classification App

The project involves using Python with libraries such as TensorFlow and Keras for developing a brain tumor classification application. It utilizes PIL for image processing and Streamlit for building the user interface, enabling users to upload MRI images for

AI Psychologist Assistant Web App

I developed an AI Psychologist Assistant web application (for AIbytec)using Streamlit, LangChain, and Python. This innovative app leverages advanced natural language processing (NLP) techniques to provide a virtual mental health assistant that can engage users in meaningful conversations.

AI Marketer Assistant Web App

I developed an AI Marketer Assistant web application using Streamlit, LangChain, and Python. The app leverages advanced natural language processing to assist marketers in creating and optimizing content. It generates tailored marketing strategies, automates content creation.

Medvationsapp

This project utilizes YOLOv8 for brain MRI image detection, classifying images into four categories: Glioma Tumor, Meningioma Tumor, Pituitary Tumor, or No Tumor. A Kotlin-based mobile app integrates the model to provide real-time, accurate tumor classification for early diagnosis.

Experience

1-1-2024 to 30-4-2024

Computer Vision Intern

As a Computer Vision Intern at Sines AR Lab at NUST (National University of Sciences and Technology), I am deeply immersed in the dynamic field of vision analytics. This role provides me with a hands-on opportunity to apply and enhance my theoretical knowledge by engaging in practical, real-world projects that focus on the development and application of advanced computer vision technologies. Throughout my internship, I am learning to utilize state-of-the-art computer vision algorithms to analyze and interpret visual data from the world around us. This involves using sophisticated software and tools to process images and video data, extract meaningful information, and develop applications that can perform tasks ranging from object recognition to real-time video analysis.

Education

2021-2024

BS statistics

A Bachelor of Science in Statistics is a comprehensive undergraduate program designed to introduce students to the fundamentals and advanced concepts of statistical theory and applications. This degree provides a solid foundation in mathematical techniques, probability theory, and statistical methodologies, equipping students with the analytical skills necessary to interpret and manage complex data sets.