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Muhummad Jawad Afzal Rana

FAST · 2023
Email
afzaljawad297@gmail.com
Phone
+92-334-9357531
LinkedIn
https://www.linkedin.com/in/jawad-afzal-b0ab84197
GitHub
https://github.com/jawad7860

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.pdf
From job #14 page 479
Created: 1778112746