Faisal Ahmed Siddiqui

Academic

Career

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Faisal Ahmed Siddiqui
+923175613358, fa0900467@gmail.com
I10, Islamabad.
LinkedIn: https://www.linkedin.com/in/faisal-ahmed

Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Artificial Intelligence (AI) 2023
Major: Web Development, Data Science, Deep Learning, Database Systems, Data Warehousing, Computer Vision, Machine Learning, Knowledge Rep. and Reasoning and Natural Language Processing.
Islamabad Model College for Boys I-8/3 2017
F.Sc (Physics, Chemistry, Mathematics)
Islamabad Model College for Boys I-8/3 2015
Matriculation (Physics, Chemistry, Biology)

Projects
Final Project: Epileptic Seizure Detection using EEG signals variability [Python,tensorflow,Keras]
An end user model to detect Epileptic Seizure in patients using EEG signals variability and provide valuable results to the medical experts for further analysis of the results fetched from the AI model.
Semester Projects:
Urdu Auto Spell Correction [Python]:
An Urdu Auto Spell Correction tool using Natural Language Processing technique.
A near realtime Data Warehouse[Java, MySQL] :
Performing ETL on a large data warehouse using Java and MySQL to analyse the raw business data and fetch valuable insights.
Candy Crush Game [OOP, C++] :
Programming a Candy Crush like game using C++ and the core principles of Object Oriented Programming (OOP)
VGG-16 architecture [Python, Google Colab]:
Designing VGG-16 architecture from scratch and using CIFAR 10 dataset to fetch prediction output.
Gym Fitness Web Application [MySQL, HTML, CSS]
Designing a web application for a gym based fitness website, which monitors the daily activity routine of the members and provides them valuable insights
Creating an OWL Ontology using SPARKLE [Sparkle, Python, Virtuoso]
Designing an ontology using OWL and modeling decisions using a multi class dataset while applying SPARKLE queries after deriving a specific ontology
Distributed Hash Tables Using AVL Trees[C++]
Creating distributed Hash tables using AVL Trees and managing the CPU consumption of the available nodes, connected through a linked graph
Model Inversion attack using neural networks [Python, Tensorflow]
Performing model inversion attack on an image dataset, which consisted of real time human samples and the attack tends to invert the images and generates a totally inverted original image through inversion technique.

Skills & Tools
Professional Skills Leadership, Interpersonal Skills, Communication,adaptable,time management, emotional intelligence, attention to details, problem solving, conflict resolution, team work
Technical Skills Python, Tensor Flow, MySQL, No SQL, Sci-kit Learn, SQL, Socket Programming, UML, PyTorch, Keras, Pandas, Numpy, C, C++,Assembly Language, NLTK,spacy, textblob, AWS, CV,github, gitcontrol, Kaggle, Colab, HTML, CSS, Javascript

Trainings / Certification
AWS Certified Cloud Practitioner Certificate
Tensorflow developer Certificate in 2023: zero to mastery from Udemy
The Complete Web Development 2023 bootcamp by Angela Yu from Udemy
Google Analytics from Coursera

Activities
Annotated Urdu Common Voice dataset on Mozilla Firefox for NLP

Interests
Playing video games , watching anime, table tennis

AI enrichment