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MUHAMMAD ALI
Aspiration Statement
“My areas of expertise are data analytics, machine learning and computer vision. I am currently looking for roles that allow me to solve real-world problems in these domains with the long-term aim of growing into a role that allows me to leverage both my leadership and technical skills.”
Core Skills
- Front End Web Development, HTML, CSS, JS, Angular
- Deep Learning (with PyTorch and Keras)
- Machine Learning & Reinforcement Learning Algorithms
- Dash
- Python and it’s libraries
- Data Analytics
- Computer Vision
- Artificial Intelligence (AI)
- Machine Learning
Academic Awards / Achievements
- Habib University Merit Scholarship
Experience
Leadership / Meta-curricular
- Finance Committee, Habib University Student Senate Chair
- Habib University Artificial Intelligence Club - President
- Habib University ACM Chapter - Vice President
Internship / Volunteer Work
- Data Analyst I - Careem (Nov 2021 - Oct 2022)
- Junior Data Analyst - Love for Data (Jul 2020 - Nov 2021)
- Core Team Member - Google Developers Group Kolachi
- Founder - Code Like a Girl- Pakistan
- Jogjapreneur Entrepreneurship project in Yogyakarta, Indonesia as part of AIESEC Global Volunteer Program - Volunteer
Publications / Creative Projects
- Deep Learning Based Personalized Outfit Recommendation System:
Final Year Project
Project Title
Deep Learning Based Personalized Outfit Recommendation System
Description
Have you ever come across a photo of someone wearing an outfit that you would like to purchase but don’t know how and where to buy in Pakistan? We are creating a men’s fashion e-commerce store with the unique selling point of a deep learning-based visual search tool, which allows you to find clothing items that are identical or similar to those in an uploaded photo. Our tool is specially tailored to the Pakistani context as our model is trained on both eastern and western clothing. In addition, our neural network also performs auto-tagging by identifying categories and attributes of items and powers the recommendation of visually complementary items to the one being viewed. Our web application is built using React, GraphQL and Django while the deep learning component is built using the PyTorch library. (Group Project)
Project Pictures
