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Nour E.

@noursherif030

annual-level-three.svgverified-v2.svgpreferred-freelancer-v3.svg
5.0
38
5.0
5.0
89%

Preferred Full Stack "TOP 2% Software Architect"

$50 USD / Hour
・
Flag of
Egypt (3:15 PM)
・
Joined on January 6, 2021
$50 USD / Hour
・
Software Engineer | Cybersecurity Specialist | Network Security Engineer | Embedded Systems Developer | Medical Coder I am a versatile professional with over 3 years of experience in software engineering, embedded systems, cybersecurity, network security, and medical coding. As a senior computer science student, I combine academic excellence with hands-on expertise to deliver high-quality solutions across various domains. Services Offered: ☑️ Software Development Full-stack web development Desktop applications API integrations and automation scripts ☑️ Embedded Systems Design Development of IoT systems Hardware-software integration Microcontroller programming ☑️ Cybersecurity Solutions Threat analysis Vulnerability assessments Penetration testing Security architecture design ☑️ Network Security Network configuration Troubleshooting and optimization using Cisco technologies ☑️ Medical Coding Accurate ICD-10 medical coding Compliance audits for healthcare organizations ☑️ Technical Writing Deliverables: -Custom software applications -Embedded IoT solutions -Secure and optimized network architectures -Comprehensive cybersecurity audit reports -Accurate and compliant medical coding records -Training modules and documentation Technical Proficiencies: ☑️ Programming Languages: Python, Java, C#, JavaScript, C, C++ ☑️ Embedded Systems Tools: Arduino IDE, PlatformIO, Keil uVision, Microchip MPLAB X ☑️ Microcontrollers: Arduino, ESP8266/ESP32, STM32, Raspberry Pi ☑️ IoT Protocols: MQTT, HTTP, WebSocket, Zigbee ☑️ Tools & Technologies: Docker, Git, Jenkins, SQL, MySQL, Wireshark ☑️ Cybersecurity Frameworks: NIST, ISO 27001, OWASP ☑️ Networking Tools: Cisco Packet Tracer, GNS3 ☑️ Medical Coding Software: 3M CodeFinder, TruCode Encoder Certifications: Cisco Certified Network Associate (CCNA) Cisco Certified Network Professional (CCNP) Cisco Certified Ethical Hacker (CEH) Junior Cybersecurity Analyst (Cisco) ICD-10 Medical Coding Certification CompTIA Security+ Certified Information Systems Security Professional (CISSP) Offensive Security Certified Professional (OSCP) Certified Kubernetes Administrator (CKA) AWS Certified Solutions Architect – Associate Google IT Support Professional Certificate Certified Ethical Hacker (CEH) Practical ITIL Foundation Certificate in IT Service Management Arduino Fundamentals Certification IoT Fundamentals: Connecting Things by Cisco Language & Communication: I am highly proficient in English, with excellent written and verbal communication skills. I excel at delivering clear and concise documentation, ensuring seamless collaboration, and tailoring solutions to meet client needs. ? Let’s work together to bring your projects to life!
Verifications
On time
100%
On budget
100%
Accept rate
88%
Repeat hire rate
5%
Freelancer Python Developers Egypt
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Portfolio

Portfolio

12406866
This High-Level Design (HLD) diagram represents the components and interactions within an Internet and Mobile Banking System. Here's a breakdown of the main components and their relationships
This High-Level Design (HLD)
12351110
Android app about fighter jets with real time acces to multi api to get real time news world wide
Android app about fighter jets
12351101
Brain computer interface command traning using emotiv bci with accuracy 95+
Brain computer interface
11893880
Spam mail detection using machine learning involves teaching a computer to recognize whether an email is spam or not based on certain characteristics or features of the email. Two common techniques for this are decision trees and Naive Bayes classifiers. Decision Trees: Imagine a flowchart where at each step, a decision is made based on certain features of the email. For spam detection, these features could be things like the frequency of certain words, the presence of certain phrases, or the sender's email address. The decision tree algorithm learns from a set of labeled emails (spam or not spam) and creates a tree structure where each node represents a feature, and each branch represents a possible value of that feature. At the end of each branch, there's a decision (spam or not spam). When a new email comes in, it follows the branches of the tree based on its features until it reaches a decision at the end. Naive Bayes Classifier: This classifier is based on Bayes' theorem, which
Spam mail detection using machine learning
11872672
This tool empowers you to create strong, unique passwords and store them securely. It offers: Random Password Generation: Generate complex, unguessable passwords tailored to your needs. AES Encryption: Benefit from industry-standard AES encryption to safeguard your stored passwords. Peace of Mind: Eliminate the burden of remembering numerous passwords and the risk of weak ones. Keep your online accounts safe and secure with this innovative password management solution.
password generator and storage with AES encryption
11872676
Foundations of Cybersecurity course by Google
Foundations of Cybersecurity course
12406866
This High-Level Design (HLD) diagram represents the components and interactions within an Internet and Mobile Banking System. Here's a breakdown of the main components and their relationships
This High-Level Design (HLD)
12351110
Android app about fighter jets with real time acces to multi api to get real time news world wide
Android app about fighter jets
12351101
Brain computer interface command traning using emotiv bci with accuracy 95+
Brain computer interface
11893880
Spam mail detection using machine learning involves teaching a computer to recognize whether an email is spam or not based on certain characteristics or features of the email. Two common techniques for this are decision trees and Naive Bayes classifiers. Decision Trees: Imagine a flowchart where at each step, a decision is made based on certain features of the email. For spam detection, these features could be things like the frequency of certain words, the presence of certain phrases, or the sender's email address. The decision tree algorithm learns from a set of labeled emails (spam or not spam) and creates a tree structure where each node represents a feature, and each branch represents a possible value of that feature. At the end of each branch, there's a decision (spam or not spam). When a new email comes in, it follows the branches of the tree based on its features until it reaches a decision at the end. Naive Bayes Classifier: This classifier is based on Bayes' theorem, which
Spam mail detection using machine learning
11872672
This tool empowers you to create strong, unique passwords and store them securely. It offers: Random Password Generation: Generate complex, unguessable passwords tailored to your needs. AES Encryption: Benefit from industry-standard AES encryption to safeguard your stored passwords. Peace of Mind: Eliminate the burden of remembering numerous passwords and the risk of weak ones. Keep your online accounts safe and secure with this innovative password management solution.
password generator and storage with AES encryption
11872676
Foundations of Cybersecurity course by Google
Foundations of Cybersecurity course
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5.0 · 38 Reviews
Reviews
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Dynatrace Managed Environment Assessment and Optimization • $400 CAD
Great communication and professional in his work and also well knowledgeable
Nibag B.
@nibag06
•
Flag of
Gatineau, Canada
•
17 days ago
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Security architecture • €150 EUR
Fast, Friendly, skilled and very pleasant to work with/ doesnt give up and always willing to help., highly recomended
Oliver R.
@jamit79
•
Flag of
Doesburg, Netherlands
•
29 days ago
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V
Computer Forensics and Network Intrusions • $205 USD
100% recommended. Delivered on time
Bryant C.
@vitalfire2022
•
Flag of
Bristol, United States
•
1 month ago
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Project 38872684 has been deleted • $30 USD
100% recommended. Great Work
Bryant C.
@vitalfire2022
•
Flag of
Bristol, United States
•
1 month ago
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CAN Bus Radar Logic Development -- 2 • $195 USD
Really professional and move real fast
Danny J.
@dannylacak
•
Flag of
Jakarta, Indonesia
•
1 month ago
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Experience
CTO
Apr, 2024 - Present
•
8 months, 20 days
MK33
Apr, 2024 - Present
•
8 months, 20 days
As CTO at MK33, I lead a team driving innovation in computer systems & cybersecurity. We fortify systems against cyber threats & safeguard sensitive data, ensuring MK33 remains a beacon of security in today's digital landscape.
Apr, 2024 - Present
•
8 months, 20 days
NFC developer
Jan, 2024 - Present
•
11 months, 19 days
NO.Link
Jan, 2024 - Present
•
11 months, 19 days
Develop and design innovative NFC solution for differnet tasks
Jan, 2024 - Present
•
11 months, 19 days
Junior Cybersecurity Analyst
Oct, 2023 - Present
•
1 year, 2 months
Cisco Networking Academy
Oct, 2023 - Present
•
1 year, 2 months
I'm Certified as "Junior Cybersecurity analyst" from cisco networking academy , which is a 120 hours career path consisted of 6 courses + 7 exams along with packet tracer simulation labs
Oct, 2023 - Present
•
1 year, 2 months
Education
Arab Academy for Science, Technology and Maritime Transport
2020 - 2024
•
4 years
Software Engineering
Flag of
Egypt
2020 - 2024
•
4 years
Qualifications
ICD10
2023
AAPC
Experienced in medical coding proficient in ICD-10, combined with strong skills in data processing, cybersecurity, and quality management. Let me enhance the accuracy and efficiency of your medical records auditing process.
2023
BCI & Neurotechnology Spring School
2024
g-tec
completing 140 hours of cuttingedge education at the BCI & Neurotechnology Spring School
2024
CCNP
2023
Cisco
Cisco's CCNP (Cisco Certified Network Professional) certification is an advanced credential designed for experienced network professionals who are ready to advance their skills to the next level. CCNP certification validates the ability to plan, implement, verify, and troubleshoot local and wide-area enterprise networks.
2023
Certifications
P
Preferred Freelancer Program SLA
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