Abdul Hadi

Academic

Verbatim text

Abdul Hadi
+923150128825, abdulhadiahmed014@gmail.com
Sector G-6/4, Islamabad.
linkedin.com/in/abdul-hadi-7bb31a185
github.com/AbdulHadi014
Education
Bachelor of Science (Computer Science)
Major:
Deep Learning (Numpy, Pandas, Python)
Image Processing (Numpy, Pandas, Python, OpenCV)
Artificial Intelligence (CNN Architectures, Keras)
Software Engineering(JAVA, C#, MVC)
Parallel and Distributed computing (OpenMP, MPI)
Natural Language Processing (NLTK, Word2Vec)
Web Programming (React.js, Angular, Flask, JavaScript)
Cloud Computing(AWS, Azure)
Projects
Final Project: Intelligent Interview Automation System – i-Interview (DeepFace, Transformers, PyAudio, Flask,
MySQL, HTML5, CSS, Bootstrap)
An autonomous interviewing system built on using the techniques of Machine Learning combined with Computer
Vision and Natural Language Processing. The system interviews with an individual, using a predefined set of
structured questions, are asked randomly to ensure the integrity and to evaluate the technical skills of the candidate
i.e. how much time does it take for them to solve a problem at run time. The individual is judged based on the degree
of accuracy of their responses, their facial and vocal expressions, and some other miscellaneous factors i.e. how much
the individual stutters, how much they use their hands to explain, or how often does the individual smile.
Semester Projects:
Sentiment Analysis on Twitter Data (NLP) : Technologies Used: Python, Tweepy, Flask, HTML, CSS
Description: The project was used to provide a working model of how Twitter data can be scraped and classified into
different categories, Data was scrapped using Tweepy API, preprocessed, and then was used to measure the
sentiment of tweets for the given keyword provided.
Automated Car-Racing Game (TORC) (AI) Race automation using TORC game engine, An algorithm to assess
environment variables of the player and the competitors, while analyzing speed, and turns and generating automated
moves accordingly to increase the advantage of winning the race for the player.
Distributed Password Cracker (PDC): Technologies Used: MPI, C+ Description: A clustered computing environment
with multiple nodes running MPICH implementation of the MPI specification to decipher passwords of Ubuntu
shadow files. The program uses brute force on a distributed system to assist in faster decryption.
Event Management System (SE): Technologies Used: .NET Framework, JS, HTML, CSS, Bootstrap, MySQL.
Description: A web-based .NET Framework MVC3 application with a frontend built on HTML, CSS, Bootstrap, and JS
and MYSQL as backend database. C# was used as an event handler in the forms like passing information between
layers or filtering information. The application was fully working and consisted of three main users: client, admin, and
manager and all have different access according to their role.
Skills & Tools
Professional Skills:
Teamwork, Problem Solving, Interpersonal Skills, Pro-activeness, Creativity
Technical Skills:
Python C++ JavaScript Node.js SQL Numpy Pandas Hadoop TensorFlow PyTorch OpenMP MPI
HTML CSS Jupyter Notebook Visual Studio VS Code Eclipse Qt Creator Linux
Achievements
Hafiz-e- Quran
Trainings / Certification
Webinar on Cloud Computing and its role in upcoming Future
Interests
Full Stack Development, Computer Vision

AI enrichment