Muhummad Jawad Afzal Rana
FAST
· 2023
Email
afzaljawad297@gmail.com
Phone
+92-334-9357531
GitHub
Academic
Program
Bachelor of Science (Artificial Intelligence)
CGPA
—
Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
O-9 Islamabad, Pakistan
DOB
—
Career
Current role
Knowledge Engineer, IKINEX
Target role
—
Skills
Python, C/C++, Tensorflow, Pytorch, Numpy, OpenCV, Pandas, Solidity, GO, Flask, PHP/HTML/CSS, Mlflow, Jenkins, Docker, Latex, Selenium, SciKit Learn, OpenCV, Gym, Django, Protege, Shell, GraphDB, Cisco Packet, Communication, Problem-solving, Time Management, Adaptability, Leadership, Continuous Learning
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.
Muhummad Jawad Afzal Rana +92-334-9357531, afzaljawad297@gmail.com O-9 Islamabad, Pakistan LinkedIn: https://www.linkedin.com/in/jawad-afzal-b0ab84197 Github: https://github.com/jawad7860 Education FAST - National University of Computer and Emerging Sciences, Islamabad. Bachelor of Science (Artificial Intelligence) Major: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, MLOps, Applied Evolutionary Computing and Knowledge Graphs. 2023 Benchmark School System, Rawalpindi A Levels (Physics, Chemistry, Mathematics) 2019 OPF Boys College, Islamabad O Levels (Physics, Chemistry, Mathematics) 2017 Projects Final Project: DeepFarm (Agricultural Information & Insights) [Python, Pytorch, 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 PointNet 3D Image Classification [PyTorch] : Implementation of Point-Net architecture with 3D point cloud data classification pipeline. SPARQL endpoint for Supplements dataset [Protege, rdfllib, Python, GraphDB] : Ontology design and knowledge graph developed for structured but unlinked supplements data Machine Learning for audio data[Python]: Implementing complete pipeline to train models on audio data Urdu Poetry Generation[Python,NLTK,Spacy]: Poe try generation through language models Transfer Learning & Fine Tuning ASR model [PyTorch, Huggingface]: fine tuning Wav2Vec model using huggingface transformers and Mozilla Urdu speech data. Gym Management System[Php,HTML,CSS,SQL]: Design and implemented system required for functioning of gym Work Experience Knowledge Engineer, IKINEX, Islamabad Design large scale ontologies in protege; Populating Ontologies using Python; Querying and developing SPARQL endpoint in GraphDB; Implementing pipeline for Graph Neural Network May 2022 - July 2022 Skills & Tools Professional Skills Communication, Problem-solving, Time Management, Adaptability, Leadership, Continuous Learning Technical Skills Python,C/C++,Tensorflow,Pytorch,Numpy,OpenCV,Pandas,Solidity,GO,Flask,PHP/HTML/CSS,Mlflow,Jenkins,Docker,Latex,Selenium,SciKit Learn,OpenCV,Gym,Django,Protege,Shell,GraphDB,Cisco Packet Achievements Awarded with Scholarships at college level. (Alevels) Trainings / Certification Programming for Everybody (Coursera) Activities Member of AI developers' community under AI and DS society (ADSoc, FAST) Participated in chat-bot competition 'BotBaazi' under ADSoc in NaSCon'22 and AI competition in Softec '22 Conducted University Seminar on Professional Practices. Interests: Technology and innovation, Reading, Sports and physical activities
AI enrichment
Muhummad Jawad Afzal Rana is a recent Bachelor of Science graduate in Artificial Intelligence with a focus on machine learning, deep learning, and knowledge graphs. He has practical experience as a Knowledge Engineer and has developed multiple AI projects involving computer vision, NLP, and ontology design.
Skills (AI)
["Python", "PyTorch", "TensorFlow", "Machine Learning", "Deep Learning", "Natural Language Processing", "Computer Vision", "OpenCV", "Flask", "Django", "Knowledge Graphs", "SPARQL", "GraphDB", "Protege", "Docker", "Jenkins", "MLOps", "C/C++", "Solidity", "Go"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 479
Created: 1778112746