Syed Muhammad Hur Ali Jaffery
FAST
· 2025
Email
syedjaffer7214@gmail.com
Phone
+923349474169
GitHub
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Academic
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CGPA
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Year
2025
Education
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Address
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Syed Muhammad Hur Ali Jaffery
+923349474169, syedjaffer7214@gmail.com
G7 /2 , Islamabad.
Linkedln: https://www.linkedin.com/in/syed-muhammad-hur-ali-jaffery-
a2b842266/
Bachelor of Science (Cyber Security)
Major:
Blockchain and Cryptocurrency, Machine learning for Cyber Security, and loT Security
oodbridge High School, Mallards Rd, Woodford Green, London, IG8 7DQ, United Kingdom
A-Levels {Computer Science, Chemistry, Mathematics, Business)
oodbridge High School, Mallards Rd, Woodford Green, London, IG8 7DQ, United Kingdom
(Mathematics, Computer Science, Chemistry, Physics, Biology, History, Geography,
Final Project: Efficient Authentication and Confidentiality Mechanism for RPL Based loTs (EACMR-loT)
[Contiki-NG, Python, C++, Cooja Simulator, Proverif and Cyther]
EACMR-loT addresses significant security weaknesses in the RPL-based loT system by including strong cryptographic
methods such as ECC and Simon and Speck algorithms that are optimised for resource-limited settings
emester Pro 'ects:
Rush Hour [C++] : A 2d board game with the taxi picking up passengers and dropping them.
Implementation of cryptographic Advanced Encryption Standard algorithm [C++] :
A code implementation of fully working AES, a symmetric key cryptography algorithm for protecting sensit ive data.
Features Engineering to Differentiate between Malware and Legitimate Software [Python, Machine Learning] :
IA machine learning model to differentiate between malware and legitimate software using feature extraction.
Parallel Detection of Malicious Activities in Large Log Files [C]:
IA parallel log file analysis system using MPI to detect signs of malicious activity in system log files.
!Al-based Secure Code Review Tool [Python, Machine Learning, Data Mining]:
!Automate the process of identifying vulnerabilities in source code with Al/ML models and traditional techniques.
Car Rental Decentralised Application [Solidity, Javascript, React JS, Truffle, Ganache CSS, HTML, Smart Contracts]:
car rental smart contract integrated with truffle to ensure automated rental agreements and payment settlements.
Work Experience
Research Assistant, Cyblytics RG FAST University, Islamabad.
Working as a security analyst for RPL based lo Ts.
kills & Tools
June 2025 - ongoing
Communication, Team working, Time Management, Decision Making, Adaptability, Technical
riting & Documentation.
chievements
Programming Languages (Python, C++, Java, JavaScript), Web Development (HTML, CSS, React,
Node.js), Cloud Computing (AWS, Azure, Google Cloud), Cybersecurity & Ethical Hacking,
Blockchain Development (Solidity, Smart Contracts), Artificial Intelligence & Machine Learning.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~--.
ice Captain for Yellow Sports Team in class 7 at Islamabad Convent School.
Headteacher's Special Award for Outstanding Effort and Achievement (Two Times) at Woodbridge High School.
Dean's List for Fall 2024 Semester at National University for Computer and Emerging Sciences.
Trainings I Certification
!
Worked as Teacher Assistant for Vulnerability Assessment and Reverse Engineering Spring 2025.
ndroid Forensics with Belkasoft Certification
icrosoft Certified: Azure Fundamentals Certification
ctivities
earn Finance Member (2021-2022) at Cyberspace Legion.
udges Support Head at Hult Prize 2025 for National University for Computer and Emerging Sciences.
nterests
Playing story mode and competitive games, Watching and Playing Cricket and Football in free time.
FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Syed Muhammad Hur Ali Jaffery is a Bachelor of Science student in Cyber Security with a focus on Blockchain, Machine Learning, and IoT Security. He has practical experience as a Research Assistant and has completed multiple academic projects involving cryptography, malware detection, and smart contract development.
Skills (AI)
["Python", "C++", "C", "Java", "JavaScript", "Solidity", "React JS", "Cybersecurity", "Machine Learning", "Blockchain", "IoT Security", "AWS", "Azure", "Cryptography", "Reverse Engineering"]
Status: ai_done
Provenance
Source file: —Created: 1777724106