Abdullah
FAST
· 2023
Email
abdullah.siddique.010@gmail.com
Phone
+923336550750
GitHub
—
Academic
Program
—
CGPA
—
Year
2023
Education
—
Address
—
DOB
—
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
ayn Abdullah +923336550750, abdullah.siddique.010@gmail.com G11, Islamabad. LinkedIn: https://www.linkedin.com/in/abdullah-siddique-541195242 Education Bachelor of Science (Artificial Intelligence) 2023 Major: (Machine Learning, Deep Learning, Computer Vision, NLP, Data Science ,Data Analytics, Data isualization, and Data Engineering. Beaconhouse School and College, Bahria Town, Lahore 2019 Alevel (Physics, Mathematics, Computer Science) Bahria Town School and College, Bahria Town, Lahore 2017 Olevel (Physics, Chemistry, Computer Science) Projects Final Project: Digitization of Handwritten Feedback Forms [Pytorch, Tensorflow, AWS, Flutter, Flask, YOLO] ‘Automatic detection and extraction of handmarked heterogeneous checkboxes (e.g. checkbox, radio button, Yes/No, numeric rating) and multilingual handwritten text (e.g. English, Urdu) to assist hotels run analysis on user feedback. ‘Semester Projects: ‘Automation of E-book convesion for urdu books [Python, Pytorch, TTS, OCR]: Designed an OCR for printed nastaliq urdu text, and trained TTS models to convert text into synthetic speech, automating the process of creating e-books. Encoder Decoder Architecture for image segmentation [Python, Pytorch, Kaggle]: Implemented encoder decoder model from scratch in Pytoch and trained on Carvana Dataset for image segmentation. Hotel Booking Web Application [Python, Django, HTML, CSS, SQL]: Developed a web application that allows user to make reservations from multiple available hotels. Spam detection using NLP methodologies [Python, Kaggle]: Implemented multinomial naive bayes to perform spam classification using bag of words. Sentiment Emotional Analysis on Audio data [Python, Kaggle]: Performed sentiment analysis on urdu audio using SVM. Implementation of VGG-16, ResNet, Alexnet from scratch. [Python, Pytorch, Kaggle]: Implemeted different deep learning algorithms from scratch to perform classification and compare results. Work Experience Part time Freelancer. Sep 2021- Ongoing orked as a Machine Learning Engineer on numerous Projects and dealt with clients from USA, Morocco, France, UK and Canada. Skills & Tools Professional Skills | Leadership, Interpersonal Skills, Communication. Technical Skills Python, Tensor Flow, Sci-kit Learn, Django, Flask, Flutter, Streamlit, ETL, HTML, CSS, NLP, OCR, TTS, Computer Vision, Neural Networks, CNN, LSTM, Genetic Algorithms, Kaggle, Google Colab, AWS, Hugging face, weight and biases, MLflow, Docker, Github Actions, Jenkins, kubernetes. Achievements Kaggle Notebook Expert Huawei Ict competition middle east 2023 Regional Finalist Dean’s List Recipient Trainings / Certification ‘AmazonWeb Services (AWS) Practitioner Activities Interests riting, Playing video games, Making Puzzles(1000+ pieces)
AI enrichment
Abdullah is a 2023 Artificial Intelligence graduate with ongoing freelance experience as a Machine Learning Engineer serving international clients. His background includes academic projects in computer vision, NLP, and deep learning, supported by an AWS certification and Kaggle recognition.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "Computer Vision", "NLP", "PyTorch", "TensorFlow", "AWS", "Django", "Flask", "Docker", "Kubernetes", "SQL", "Flutter"]
Status: ai_done
Provenance
Source file: —Created: 1777726225