(Jun 2024 - Present)
Python Developer
Freelance
constcoder={Name:'Sameer Shah',skills:['Python', 'Django', 'ML', 'PyTorch', 'MySql', 'AWS', 'MongoDB', 'Docker', 'AWS'],DjangoDev:True,MlEngineer:True,Hireable:function() {return(this.backend&&this.mlEngineer&&this.skills.length>=5);};};ABOUT ME
Summary
AI & Web Engineer focused on building production-ready machine learning systems and full-stack applications. Skilled in PyTorch, Django, and AWS, with hands-on experience deploying deep learning models and automation tools for real-world use.
Experiences
(Jan 2023 - Present)
Self Employed
Code and build something in everyday.
Skills
PROJECTS
ShoppingX - eCommerce Web App
constproject={name:'ShoppingX - eCommerce Web App',tools: ['Django', 'MySQL', 'Bootstrap', 'AJAX', 'HTML', 'CSS],myRole:Full Stack Developer,Description: A full-stack eCommerce platform built with Django, featuring dynamic product listings, custom AJAX-powered shopping cart, multi-step checkout, and secure order tracking. Integrated Django’s class-based views for scalable architecture, and user authentication for personalized experiences.,};YouTube Gesture Controller
constproject={name:'YouTube Gesture Controller',tools: ['Python', 'MediaPipe', 'OpenCV', 'PyAutoGUI],myRole:Computer Vision Developer,Description: A computer vision project that uses real-time hand gesture recognition via webcam to control YouTube playback. Implemented with MediaPipe for gesture tracking, OpenCV for live video processing, and PyAutoGUI for automating browser interactions.,};Spam SMS Detection System
constproject={name:'Spam SMS Detection System',tools: ['Python', 'NLTK', 'scikit-learn', 'Streamlit', 'Pandas', 'Pickle],myRole:ML Developer,Description: A lightweight NLP project that classifies text messages as spam or not using Naive Bayes. Preprocessing includes tokenization and normalization. Built with scikit-learn and Streamlit for deployment, and serialized using pickle for model persistence.,};Facial Expression Recognition (FER-2013)
constproject={name:'Facial Expression Recognition (FER-2013)',tools: ['PyTorch', 'OpenCV', 'FER-2013', 'CNN', 'Matplotlib],myRole:Deep Learning Engineer,Description: A deep learning model using CNNs in PyTorch trained on the FER-2013 dataset to classify human emotions from facial expressions. Implemented preprocessing pipelines, real-time prediction interface, and visualizations. Deployed using Google Colab.,};Educations
2022 - Present
Bachelor of Computer Science
Iqra University - Karachi
2019 - 2022
Diploma In CIT
Govt PolyTechnique Institute - Karachi
2009 - 2019
Secondary School Certificate
Bright Career School - Karachi
Blogs
2 months ago
0
How I Built a Facial-Expression Recognition Model with PyTorch (FER-2013, 72% Val Acc)
2 Min Read
TL;DR I trained a 3-block CNN in PyTorch on the FER-2013 dataset to classify 7 emotions....