Khizar Shabir

Academic

Verbatim text

Khizar Shabir
+923036869079, hkhizer2@gmail.com
Nindowal, Gujrat.
LinkedIn: https://www.linkedin.com/in/khizar-shabir-695aa5167/
GitHub:    https://github.com/KhizarShabir1
Education
Bachelor of Science (Computer Science)
Major:
Data Science, Machine Learning, Deep Learning, Data Analytics, Distributed Computing,
Software Engineering, BlockChain Development, Digital Image Processing, iOS
Govt. Zamindar Post Graduate College, Gujrat
F.Sc (Pre-engineering)
Projects
Final Project: NEO – Conversational AI Agent [Python, Pytorch, React, Node js] A conversational expert for chit-
chat, having its conversation consistent with its persona. Trained dialogue model, using word embeddings and
transfer learning, was able to learn its personality and capture the context of the dialogue.
Semester Projects:
Siamese Neural Networks for One-Shot Recognition [Python, Pytorch]: One-shot recognition on omniglot data set
with up to 88% accuracy.
Autonomous Driving Simulation [Python, TORCS]: Designed a controller for AI based self driving car that can race
with other cars on different tracks and compete in TORCS (The Open Racing Car Simulator).
CPHAR-10 Image Classification [Numpy, scikit-learn, Keras]: Reconstructed images from sparse (50% data loss)
CPHAR-10 dataset using compressed sensing and cubic interpolation and trained them on deep neural network for
classification and got approx. 80% accuracy.
Blockchain: Partner at Stake [Golang, Goroutines]: Designed a new consensus algorithm in Golang that ensures that
only trusted members can join the Blockchain while maintaining its decentralized functionality.
OS Kernel Simulator [C++]: Simulation of how a kernel handles processes using multiple scheduling algorithms
Game Development [C++, OOP, OpenGL]: Developed Bomberman and Pacman hybrid, and Cookie Crush Game
Management Systems [SQL, HTML, CSS, Java, JavaFX]: Developed Hospital, Toys and Bakery management systems.
Cache Simulation [C++]: Implemented a trace driven Level-1 data cache simulator.
Number Crush Game [Assembly Language]: Multistage game with animations made from scratch.
Work Experience
Green Computing Research Intern, AIM Lab, FAST NUCES
Developed an android studio plugin that was integrated with decision tree to predict the
energy consumption of any android app, given its specific features.
Jun 2019  -  Jul 2019
Skills & Tools
Professional Skills
Leadership, Problem Solving, Interpersonal Skills, Critical Thinking, Communication.
Technical Skills
C++, Python, Golang, Java, Swift, SQL, MATLAB, x86 Assembly, Solidity, HTML, CSS,
PyTorch, Tensor Flow, Sci-kit Learn, Keras, OPEN CV, Socket programming, Docker, Kubernetes,
AWS, Xcode, Android Studio, Ruby on Rails backend, GNU Octave
Achievements
Trainings / Certification
Machine Learning by Stanford University, Coursera (certification)
Attended Workshop of Hands on Full Stack Development in Ruby on Rails and Vue.js at NUCES
Learning Probability – The Science of Uncertanity and Data (Statistics and Data Science MicroMaster by MIT)
Activities
Head of Events and Workshops at National University Computing Society (2018-2019)
Vice-head Operations at National University Computing Society (2018)
Coordinator for ‘Speed Programming’ in NaSCOn’17 (2017)
Interests
Machine Learning, Data Analysis, Deep Learning, Blockchain, Accounting, Stories, Book reading

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