University of Oulu

Currently working as a Research Assistant focusing on developing advanced Quantum Cybersecurity frameworks. I am focusing on AI/ML models for proactive detection and mitigation of quantum-era malware threats. My work integrates deep machine learning algorithms to analyze quantum computing threats and propose resilient cybersecurity protocols. This role underscores my passion for fusing AI with cybersecurity, contributing to safer quantum environments.

Research Assistant

In this role, I focused on the intersection of Artificial Intelligence and Cyber Security, applying data mining techniques to analyze Q&A repositories with the aim of understanding challenges related to quantum computing and its security implications. My work involved leveraging AI-driven data analysis to uncover patterns and insights from complex datasets.

Research Intern

Bugcrowd

As a freelance security researcher with Bugcrowd, I specialize in identifying and mitigating security vulnerabilities for a diverse range of clients. 
I perform security audits and penetration testing to unearth vulnerabilities in applications and infrastructure, contributing to the fortification of client cybersecurity defenses. 
I also engage in an active community of security professionals, sharing insights and techniques to continuously improve collective knowledge and efficacy in tackling security challenges.

Security Researcher

TryHackMe

I am learning the skills to detect and prevent cyber attacks, penetration testing, web security and application security.

- Vulnerability Scanning, Enumeration and Exploitation 

- Privilege Escalation (Linux, Active Directory) 

- Web App Testing

- Pentesting Tools: Nmap, FFUF, Nessus, Metasploit Framework, Hydra, Burp Suite

CTF Player

ENGIE Solutions Middle East

I worked on the KACE and KAUST data centers located in King Abdullah Economic city (Jeddah). The data centers were for NCB (National Commercial Bank) and King Abdullah University. 
My responsibilities included:

- Cloud Environment Management: Managed and secured AWS-based data center environments, ensuring compliance with industry standards and security best practices.

- Automation and CI/CD: Developed and maintained CI/CD pipelines, automating deployment processes to increase efficiency and reduce manual errors.

- Security Implementation: Applied security tools to scan and analyze vulnerabilities, maintaining secure infrastructure configurations.

Data Center Security Engineer

SRACO COMPANY

In my role as an Risk Analysis Engineer, I was working at Royal Commission Hospital in Jubail. 
I conducted comprehensive risk assessments and data analysis using Power BI, implemented and enforced safety management systems, trained staff on compliance and global safety programs.
I also led security and risk management initiatives, ensuring adherence to local regulatory legislation and performed FMEA and Root Cause Analysis to enhance system reliability and security.

Risk Analysis Engineer

Turnotech Inc.

During my tenure in Turnotehc, as a HSE coordinator I was responsible for assisting with developing HSE Plans that comply with Company policies and procedures as well as local client requirements, conducting HSE presentations and training to employees as required, assisting work site personnel and line management in development of work site HSE.

Telecommunications & HSE Coordinator

Tier4

I implemented the QHSE standards for Microwave link installation for 3G and 4G services for vendors Huawei and ZTE and worked with Huwaei teams to improve the cyber security and information security programs for subcontractors and employees. I managed the implementation of HSE standards in the organization to ensure a Risk-Free working environment for all employees.

I also developed the HSE Policy for the Technical and administration staff and assisted facilities in complying with all safety & health regulation, and company guidelines. I enforced & trained all employees in the department to follow safety requirements as per approved HSE policies & procedures and implemented work permit systems and inspections, planning safety arrangements for Erection work.

Cyber Security & HSE Engineer

As HUAWEI's certified 3G Expansion Engineer, I worked on multiple projects for the installation of 3G and 4G microwave systems, BSS upgradation, media expansion projects, network security, and quality assurance. 
A brief details of the equipment and projects on which I worked:

. Installation of Huawei RTN 610, 620, 910, 950, 980 series Microwave links.
. Commissioning and Troubleshooting of Huawei RTN 610, 620, 910, 950, 980 series Microwave links.
. Performed Media Expansion, new site media clearance and 2nd E1 expansions.
. End to End Media clearance and Troubleshooting.
. Perform traffic shifting and cutover activities.
. Installation and integration of Rectifier and Battery Bank.
. Installation and commissioning of Huawei BTS 3900 (DBS).
. Alarms Trouble Shooting & Power Test.
. Alarm verification and Rectification in coordination with OMC. (Power alarms, Gen Set alarms, Environmental alarms).
. Performed BTS and Power cutover activities (Shifting Site from Old equipment to new equipment).
. Performed Pre-ATP and ATP (Acceptance Test Procedure).

Telecommunications Engineer

Pakistan Telecommunication Authority (PTA)

I worked on GRC (Governance, Risk, and Compliance) policy-making for Telco companies and vendors in Pakistan.  I also assisted the Deputy Director in the implementation of ISO standards and the Information security standards framework to be implemented in the Pakistan telecommunications industry. I also implemented the guidelines in issuing the NOCs for all the telecommunication devices authorized to work in Pakistan as per FAB (Frequency Allocation Board) and FIA (Cybersecurity act).

Management Trainee Officer

National Telecommunication Corporation

I worked on the Optical Fiber Access Network (OFAN) and the operation of ZTE MSAN ZXA10, a dual-ring and token ring network system that was controlling the traffic of the North Region of Pakistan. I worked in the SOC (Security Operation Center) and Network Monitoring System (NMS) of NTC to monitor and evaluate the security controls.

Internee

I help organizations by developing AI-driven, secure, and scalable solutions. With a background in AI engineering and cybersecurity, I focus on delivering solutions that drive innovation and protect digital infrastructure.

Zeeshan Ajmal

Researcher at University of Oulu | AI/Ml, Cybersecurity & Quantum computing

🤖 Generative AI Lead @ AWS ☁️ (150k+) | Startup Advisor | Public Speaker | AI Outsider

This 2’ video is pure magic…. Sorry, maths!

How LLMs Really Work Behind the Scenes (No Magic, Just Math) 🚀

Ever wondered what’s actually happening inside GPT, Claude, or LLaMA when you type a question? Here’s the “movie” playing in the background:

1️⃣ Words become tokens and then numbers
Your text is split into tokens (words or subwords). Each token is turned into a high-dimensional vector—thousands of numbers that capture meaning.

2️⃣ Order matters (positional encoding)
Transformers don’t know word order by default, so we add positional signals telling the model if a token is first, last, or somewhere in between.

3️⃣ The “attention” magic
Every token looks at every other token to figure out what’s relevant. This self-attention step is like having all words in a sentence talk to each other, regardless of distance.
And with multi-head attention, the model does this several times in parallel—spotting grammar in one head, tone in another, and meaning in another.

4️⃣ Feedforward thinking
After attention, each token’s vector passes through a mini-neural network (MLP) that adds new knowledge and transforms it further.

5️⃣ Residuals & normalization
To keep learning stable, the input and output of each block are added together (residuals) and normalized. Think of it as “memory foam” for data—retaining what matters and smoothing the rest.

6️⃣ Layer upon layer
Powerful LLMs stack this process dozens of times.
▪️Early layers: capture basic word meanings
▪️Middle layers: detect relationships and patterns
▪️Final layers: combine everything into deep context

7️⃣ Output generation
At the end, vectors are turned into probabilities for the next token using a softmax. The model picks the most likely one… then repeats until your sentence is complete.

So next time ChatGPT gives you an answer—it’s not guessing. It’s running a massive, highly-orchestrated information exchange at lightning speed!

Link to the video in the comments! Kudos to 3Blue1Brown

#ai #tranformers

Taplio

Zeeshan Ajmal's Linkedin Analytics

's Best Posts (last 30 days)

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Zeeshan Ajmal's Linkedin Analytics

's Best Posts .css-qqfgvy{font-size:var(--chakra-fontSizes-md);}(last 30 days)

Want to drive more opportunities from LinkedIn?

Zeeshan Ajmal's Linkedin Analytics

's Best Posts (last 30 days)