ATIF MEHMOOD

ATIF MEHMOOD

Class of 2020
BS Computer Science

Aspiration Statement

I have a particular interest in Software Development and Computer Vision. After graduation, I would like to work for an organization or a team where I am able to enhance my skills and work on cutting-edge technologies. I am a quick learner and eager to learn and experiment with new things.

Core Skills

  • JavaScript ES6, Python 3, C++, Basic Java
  • HTML 5, CSS 3, Bootstrap 4, React JS, JQuery, React Native
  • Django, Django Wagtail CMS, Node/Express JS, Spring Boot, REST Full Web Services
  • Relational Database Design, SQL, Git
  • Keras, Rasa, Mxnet
  • Object-Oriented Programming (OOP)

Academic Awards / Achievements

  • Folio 3-Awarded a laptop for good performance during the internship
  • Secured 1st position in Hult Prize on campus. - My Social Start-up, Social Software Inc.

Experience

Leadership / Meta-curricular

  • Web Application Developer and Workshop Lead - Knowledge Valley School
  • Shoulder Pat - Full Stack Web Developer
  • TCF ADP at Habib University - Team Lead
  • Folio 3 Software - Intern

Internship / Volunteer Work

  • Technical Lead | Frontend - Stellic (Jun 2022 - Present)
  • Frontend Engineer - Stellic (Aug 2020 - July 2022)
  • Full Stack Engineer - CodeSol Technologies (Oct 2019 - July 2020)
  • Youth Center For Research - Full Stack Web Developer

Publications / Creative Projects

  • Game Play Using Gesture Recognition NN-Model: Applied Transfer Learning to develop a model to recognize static gestures from areal time video feed through camera. Reused OOP project to play through this gesture recognition system. Since the game was programmed in C++ and model was programmed in Python we used web sockets for the communication between them.
  • 2D Computer Game: Developed a 2D shooting game, similar to metal slug, for OOP’s final project. This game was developed in C++ using SDL 2.0

Final Year Project

Project Title

InstaWeight in Collaboration with Folio3

Description

A project in collaboration with Folio3 to estimate the weight of cattle through an autonomous process using deep learning and machine learning. It also involves the development of an admin panel (web client) and a mobile application to capture the images. (Group Project)

Project Pictures