Eman Fatima
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Open to Artificial Intelligence Roles

Eman Fatima Artificial Intelligence Engineer & Cybersecurity Analyst

BS graduate in Cybersecurity and Digital Forensics from The Islamia University of Bahawalpur (CGPA 3.50), with practical experience in threat detection, incident response, blockchain security and AI based anomaly detection. Published researcher at ICACNC 2025, former team leader, and IEEE event host with a record of turning security research into working systems.

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Eman Fatima
CGPA 3.50
Published Researcher
0
Security Projects
0
CGPA
2
Publications
0
Certifications
About Me

Securing systems through research and code

I am Eman Fatima, a Cybersecurity and Digital Forensics graduate from The Islamia University of Bahawalpur with a CGPA of 3.50. My work sits at the intersection of network security, digital forensics and applied machine learning, and I care about building systems that hold up under real attack conditions, not just in a lab.

My research on blockchain and AI driven anomaly detection was accepted at ICACNC 2025 and a follow up review is currently under evaluation with JAIR. I have completed internships in a national forensics lab and an applied AI team, hosted IEEE cybersecurity sessions, and led a five member lab group through project delivery from planning to demo.

I enjoy the full lifecycle of a security problem: reconnaissance, threat modeling, building the detection or prevention layer, then writing it up clearly enough that someone else can act on it. Reach out if you are hiring for a cybersecurity, forensics or applied AI security role.

Cybersecurity & Digital Forensics

Network security, threat modeling, memory forensics and incident reporting using industry standard tooling.

Applied AI & Machine Learning

Anomaly detection, NLP and audio models applied to real security and authentication problems.

Blockchain Security

Ethereum smart contracts, IPFS storage and role based access control for healthcare grade systems.

Skills & Expertise

Technical Skill Set

Programming Languages
PythonC++JavaJavaScriptHTML / CSS
Cybersecurity & Risk
Threat DetectionThreat ModelingRisk AssessmentIncident ResponseNetwork SecurityOSINT
Digital Forensics Tools
AutopsyFTK ImagerRAM CapturerX WaysWinHexBelkasoft
Security Tools
WiresharkNmapOWASP ZAPThreat Modeling Tool
AI / ML Frameworks
TensorFlowKerasScikit learnPyTorchOpenCVHuggingFace
Web, Cloud & Blockchain
FlaskDjangoFastAPIReact.jsEthereumIPFSMicrosoft Azure

Certifications & Training

Continuously building on formal coursework with industry recognized programs.

Foundations of Cybersecurity

Google · Coursera, Aug 2024

Manage Security Risks

Google · Coursera

Network Security

Google · Coursera

Generative AI & Deep Learning

Boot Camp, May 2025

Microsoft Azure Cloud Services

In Progress

AI for Beginners

Microsoft · Online

Featured Work

Projects That Matter

Final Year Project · Live
Healthcare Security with Blockchain & AI

Secure hospital management system using Ethereum smart contracts for role based access control and IPFS for decentralized storage, with a Random Forest model flagging suspicious login patterns and preventing unauthorized access. Live at healerplus.live

PythonEthereumIPFSReact.jsRandom ForestFlask
View Source
Digital Forensics · AI
Audio Forensics & Tampering Detection

Web platform that detects digital tampering in audio files, using OpenAI Whisper for transcription and DistilBERT for NLP based authenticity analysis.

PythonWhisperDistilBERT
View Source
Cybersecurity · Machine Learning
AI Based Phishing Detection & Threat Analysis

Full stack platform detecting phishing across URLs, emails and web content in real time using NLP, WHOIS and DNS lookups, and outputting confidence scored risk classifications.

FlaskScikit learnTF-IDFWHOIS
View Source
Computer Vision · Deep Learning
AI Based Traffic Sign Recognition

Deep learning model trained on the German Traffic Sign dataset to detect and classify road signs using computer vision techniques.

OpenCVTensorFlowScikit learn
View Source
Data Science · EDA
Exploratory Data Analysis & ML Benchmarking

End to end data science project covering missing value handling, outlier detection and correlation analysis, then benchmarking six ML algorithms including DBSCAN for spatial anomaly detection.

PandasNumPyDBSCANSeaborn
View Source
Deep Learning · CNN
Image Classifier with Confidence Threshold

CNN based classifier for Cat versus Dog categorization, with a confidence threshold to flag unknown animals and per class confidence scores in a Streamlit interface.

TensorFlowCNNStreamlit
View Source
AI · NLP · In Progress
AI Recitation Evaluator

Records user audio and compares phoneme level pronunciation against reference reciters, returning word by word accuracy scores using Whisper and Wav2Vec2.

WhisperWav2Vec2FastAPI
View Source
Security Auditing
PassAudit

Audits password strength, enforces policy requirements and checks credentials against known breached password databases.

PythonCryptography
View Source
Professional Experience

Where I've Made Impact

Artificial Intelligence Intern, CMIT 2025
Jan 2026 to Jun 2026
BuiltinSoft · Rahim Yar Khan, Onsite
  • Implemented Markov Chain algorithms and chatbot logic for conversational AI features
  • Developed Django REST APIs for a production e commerce clothing platform
  • Performed data cleaning and feature engineering, and trained ML models including KNN, K Means, Random Forest, Linear Regression, SVM and Decision Trees
Cybersecurity Intern
Jul 2025 to Sep 2025
National Cyber Crime and Forensics Lab · Islamabad, Hybrid
  • Applied backend development skills within an active cybersecurity research environment
  • Performed sentiment analysis, gender detection and speaker diarization with accurate labeling
  • Prepared technical reports and presented findings to the research team with clarity and precision
Research

Published Research

Accepted, ICACNC 2025
Enhancing Healthcare Security with Blockchain and AI Based Anomaly Detection
Eman Fatima, Rao Sharif Mansoob, Muhammad Shoaib, Iftikhar Rasheed, Umar Fayyaz
Proposed a secure hospital data system using Ethereum blockchain, IPFS and AI anomaly detection to prevent brute force attacks. Smart contracts enabled secure logins, and Random Forest achieved high accuracy detecting suspicious patterns.
Under Review, JAIR
Blockchain and AI in Healthcare Security: A Comprehensive Review of Anomaly Detection Approaches
Eman Fatima et al.
Literature review examining blockchain and AI driven anomaly detection in healthcare, covering security, privacy and real world deployments such as Estonia's eHealth infrastructure.
Leadership

Leadership & Extracurricular

Team Leader, University Lab Group

Led a five member team on image and video processing projects, coordinating task delegation, progress tracking and technical delivery.

Event Host, Departmental Farewell Functions

Managed logistics and hosted formal university events, building strong communication and coordination skills.

Technical Host, IEEE Cybersecurity Events

Moderated expert panels, facilitated Q&A discussions and presented technical cybersecurity content to diverse audiences.

Get In Touch

Let's Connect

Open to Opportunities

I am actively looking for cybersecurity, digital forensics and applied AI security roles, along with research collaborations where I can put threat detection, forensics and anomaly detection work into practice.

Emailemanfatima60860@gmail.com
Phone0303 8775831
LinkedIneman-fatima-512a01246
GitHubEmanFatima045
LocationLahore, Pakistan

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