Sheikh Abdul Mannan

Fort Collins, CO · (903)-505-2488 · sheikh.mannan@hotmail.com · sheikh.mannan@colostate.edu

I am a Computer Science graduate student at Colorado State University. I am currently working in the SIGNAL Lab under Dr. Nikhil Krishnaswamy in machine learning, focusing on assistive AI agents and natural language processing. My other interests include developing full stack web and mobile applications with a focus on usability and efficiency. I am also a Graduate Teaching Assistant for Intro to Distributed Systems currently.

I am also looking for Software Engineering or Machine Learning internship oppurtunities in Summer(May-August) of 2022.

If you want to contact me or get to know me better, send me an email at either of the email adresses above, follow me at LinkedIn/GitHub, or download my resume.

Experience

Graduate Teaching Assistant

Colorado State University, Fort Collins, CO
Courses: Intro to Distributed Systems, Software Engineering
  • Assisted students to understand course content through programming assignments,quizzes and projects.
  • Helped in grading course assignments and projects and facilitated learning via regular office hours.
January 2021 - Present

Manager Data Science

Medialogic Pakistan Pvt Ltd., Lahore Pakistan
  • Provided insights on behavioral patterns in television viewership from a representative sample population of 1500 households to ascertain households truthfully reporting viewership statistics.
  • Extrapolated demographic labels using a probabilistic model onto a 60% larger unlabelled population for improved television viewership statistics and ratings.
August 2020 - November 2020

Undergraduate Teaching Assistant

Lahore University of Management Sciences, Lahore, Pakistan.
Courses: Network Security, Algorithms, Intro. to Programming
  • Created labs, programming, and written assignments to increase the understanding of 3 courses and held regular office hours to assist students in understanding course content and assignments.
  • Implemented automated grading scripts for all (4) assignments for the Algorithms course to reduce checking time and maintain consistency.
January 2019 - June 2020

Education

Colorado State University (CSU), Fort Collins, CO

PhD Computer Science
Relevant Courses: Machine Learning, Natural Language Processing, Intro to Distributed Systems, Big Data

CGPA: 4.0 / 4.0

January 2021 - May 2025 (Expected)

Lahore University of Management Sciences (LUMS), Lahore, Pakistan

B.S Computer Science
Relevant Courses: Topics in Computer and Networks, Distributed Systems, Software Engineering, Network Centric Computing, Algorithms, Data Structures.

CGPA: 3.28 / 4.0

August 2016 - June 2020

Projects

Explorative Analytics of an Evolving Citation Network

Using Apache Spark and Hadoop, we performed an analysis of a continuously evolving temporal network to investigate whether fundamental network properties of density and diameter evolve as expected in citation network.

Music Genre Classification: A comparative study

Using the GTZAN music dataset, compared 2 classes of networks, fully connected and convolutional networks implemented in PyTorch and achieved the best accuracy of 80% with the physical features of audios · GitHub

Generative Adversarial Networks for Natural Images and Pokemons

Trained Generative Adversarial Networks (GANs) with TensorFlow using 2 datasets for natural images and Pokemons to compare what types of images does a GAN produce better results · GitHub

Dryvar Foods

Lead the design and development of a cross-platform mobile application for Dryvar, a food delivery service, with real-time delivery tracking via GPS as a complete overhaul to their previous platform. The application was developed in Flutter with a PHP backend server · Google Play Store

Freight Advisors

A web application, developed using ReactJS, JavaScript and Firebase, for finding, requesting and booking rates from verified and trusted freight forwarders for shipping.

Studying User Behavior on OLX

OLX is one of the biggest online marketplaces, with more than a million users each day. To improve the usability and effectiveness of the platform, we carried out an analysis on the behavioral pattern of the users as to what actions they take on the platform. We suggested techniques to make the platform more efficient for users.

Longitudinal Analysis of Android Applications

A longitudinal study on the evolution of Android applications. We measured and analyzed 'functionality creep' across successive versions of an application to find potential discrepancies regarding application permissions.

Auditing social community moderation

A study to measure the efficiency and bias of moderation systems deployed by social media websites. These metrics were measured keeping in mind the community guidelines, with a focus on hate speech and bullying.

Automated Refactoring in JavaScript

A static analysis of JavaScript to catch and resolve dependencies that could lead to the "callback-hell" problem. The project focused on improving readability and getting rid of performance degradation that could potentially result from nested callbacks.

Market My Home

A B2B Android application developed in Flutter and Firebase that allowed users to buy and sell real estate properties · GitHub

Skills

Programming
  • Python

  • JavaScript

  • Golang

  • Dart

  • C/C++

  • Java

Data Modelling
  • Pandas

  • Numpy

  • TensorFlow

  • PyTorch

  • Scikit-learn

Big Data Frameworks
  • MapReduce

  • Apache Spark

  • Apache Storm

  • Hadoop

Development
  • Flutter

  • NodeJS

  • ReactJS

  • BootStrap

  • WordPress

  • Firebase

Tools
  • Git

  • Zenhub

  • Code Climate

  • Slack

  • VS Code

  • Docker

  • GitHub Actions

  • Postman

  • Selenium

  • Jupyter Notebooks

Interests

I enjoy playing video games such as CounterStrike, Skyrim, or other FPSs and RPGs and following a wide range of movies and tv shows in my free time. I also enjoy table tennis, basketball, soccer, swimming, and the occasional hike now and then. In the time left, which is still a lot, I currently follow Formula 1 and tier 1 CounterStrike esports or new tech tools and devices.

Awards & Honors

  • Graduation with merit from Lahore University of Management Sciences 2020, Pakistan
  • Winner of 23rd edition of SOFTEC 2019 Programming Competition, Pakistan's biggest programming competition · link
  • Runner Up of IEEE LUMS Coding Guru Programming Competition 2018, Pakistan