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Muhammad Mohtad Younus

FAST · 2023
Email
mohtadr1423@gmail.com
Phone
+92-321-2203903
LinkedIn
https://www.linkedin.com/in/mohtad/
GitHub

Academic

Program
Bachelor of Science (Artificial Intelligence)
CGPA
Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
E-11 Islamabad, Pakistan
DOB

Career

Current role
Python Developer, Taxovation, Islamabad
Target role
Skills
Python, TensorFlow, Flask, HTML, CSS, JS, Google Collab, OpenCV, Keras, NLP, SVM, NB, KNN, PyTorch, Protege, rdflib, GraphDB, Machine Learning Algorithms, Data Preparation and Analysis, Data Structures and Algorithms, Cloud Computing Platforms, Big Data Technologies, Software Engineering, Computer Vision

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.
Muhammad Mohtad Younus
+92-321-2203903, mohtadr1423@gmail.com
E-11 Islamabad, Pakistan
LinkedIn: https://www.linkedin.com/in/mohtad/
Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science (Artificial Intelligence) 2023
Major: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, MLOps, Applied Evolutionary Computing and Knowledge Graphs.
Hitec School And College For Boys, Taxila 2019
FSC-Pre Engineering (Physics, Chemistry, Mathematics, Computer)
Hitec School And College For Boys, Taxila 2017
Matric (Physics, Chemistry, Mathematics)
Projects
Final Project: DeepFarm (Agricultural Information & Insights) [Python, TensorFlow, Flask, HTML, CSS, JS, Google Collab, OpenCV]
Deepfarm, a web application based on modern AI techniques such as deep neural networks and machine learning models (Unet) using open-source satellite imagery (Sentinel 2) to assist the agricultural sector. Deepfarm aims to provide agricultural insights and field level statistics such as crop identification, crop segmentation and crop yield estimation.
Semester Projects:
Face Mask Detection [OpenCV, TensorFlow, Python] :
face mask detector with OpenCV, Keras/TensorFlow, and Deep Learning
Roman-Urdu Spell Correction LM [Python, NLTK]:
Spelling Correction Module for Roman Urdu using Language Modeling and Bias Theorem.
PointNet 3D Image Classification [PyTorch] :
Implementation of Point-Net architecture with 3D point cloud data classification pipeline.
SPARQL endpoint for Supplements dataset [Protege, rdflib, Python, GraphDB] :
Ontology design and knowledge graph developed for structured but unlinked supplements data
Healthcare AI Chatbot [Python, NLP]
Machine learning algorithms such as SVM, NB, and KNN to train the medical chatbot.
Work Experience
Python Developer, Taxovation, Islamabad September 2022 - January 2023
Designed the website's layout, created and updated content, optimized the site for search engines and ensured that it is responsive and accessible on all devices. Developed a client portal where clients can access their tax documents, or an external application for tax professionals to manage client data. Integrate tools of special software in the company's website.
Skills & Tools
Professional Skills Communication, Problem-solving, Time Management, Adaptability, Leadership, Continuous Learning
Technical Skills Programming Languages, Machine Learning Algorithms, Data Preparation and Analysis, Data Structures and Algorithms, Cloud Computing Platforms, Big Data Technologies, Software Engineering, NLP, Computer Vision
Achievements
Winner ChatBot Competition
Trainings / Certification
Certified AWS Cloud Fundamentals Practitioner. (Amazon)
Certified Python Programmer (Microsoft)
Activities
Member of AI developers' community under AI and DS society (ADSoc, FAST)
Participated in chat-bot competition 'BotBaazi' under ADSoc in NaSCon'22
Conducted University Seminar on Professional Practices.
Interests: Technology and innovation, Reading, Volunteer work, Sports and physical activities
National University of Computer and Science (NUCES), Islamabad Campus | Pakistan

AI enrichment

Muhammad Mohtad Younus is a recent BS graduate in Artificial Intelligence with foundational experience in machine learning, deep learning, and NLP. He has completed several academic projects involving computer vision, knowledge graphs, and web development, alongside a short tenure as a Python developer.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "TensorFlow", "PyTorch", "OpenCV", "NLP", "Computer Vision", "Flask", "AWS", "Knowledge Graphs", "SQL", "Git"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 473
Created: 1778112746