Hi there 👋

About me

I’m a Data Scientist specialized in Artificial Intelligence (AI) and Cybersecurity. I build production-ready AI systems that are secure, privacy-preserving, and designed for real-world impact across multiple industries. I’ve worked with public-sector authorities on GDPR-compliant AI, privacy-preserving techniques, and secure handling of sensitive data, combining hands-on engineering with regulatory and risk awareness.

A core part of my work is failure-mode thinking: understanding how AI systems break through data leakage, weak access controls, insecure integrations, or poorly governed pipelines, and designing architectures that reduce those risks.

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Technical Stack

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My Projects

Machine Learning (11) | Cybersecurity (12) | Other (12)

Latest

Malware Classification

Educational project demonstrating image-based malware family classification: classifying malware from pre-rendered grayscale byteplots, training a CNN from scratch, fine-tuning pretrained architectures (ResNet-50, ResNeXt-50, Inception-v3), and evaluating them.

Features:

• 25 malware families - 9,339 pre-rendered grayscale byteplot images.
• How malware can be represented as images — what byteplot layout and texture encode.
• How convolutional networks learn family-specific structure from byte sequences.

Machine Learning (11)

A curated collection of machine learning projects covering various domains including computer vision, predictive modeling, cybersecurity, and data analysis.

Repository	Description	Language
malware-classification	Image-based malware family classification from byteplots with CNN from scratch and transfer learning	Jupyter Notebook
spam-detection-using-AI	End-to-end SMS spam classification with scikit-learn and a Streamlit web app	Jupyter Notebook
E-commerce-Conversion-Prediction	Predicts whether an e-commerce visitor session will result in a purchase	Jupyter Notebook
Convolutional-Neural-Networks-CNNs-from-scratch	CNNs from scratch inspired by EfficientNet and Inception, trained on CIFAR-10	Jupyter Notebook
CAN-T-SEE-THE-FOREST-FOR-ALL-THE-TREES	Univariate analysis with predictive modeling using decision trees and random forests	Jupyter Notebook
fine-tuning-an-local-llm-for-web-scraping	Fine-tunes Qwen2.5-3B to extract structured JSON data from job postings	Jupyter Notebook
digit-classifier-api	MNIST classifier served through a FastAPI REST API — train, deploy, consume	Jupyter Notebook
digiti-signum	Classical and forensic fingerprint matching techniques on the SOCOFing dataset	Jupyter Notebook
digit-recognition	Streamlit app recognizing handwritten digits 0-9 with a CNN trained on MNIST	Python
Understanding-Data-Augmentation	Measures the impact of data augmentation on ResNet18 training on CIFAR-10	Jupyter Notebook
data-processing	Chicago crime data 2008-2012 analyzed against census data for socioeconomic correlations	Jupyter Notebook

Cybersecurity (12)

A curated collection of 12 cybersecurity projects spanning operational security, defense evasion, steganography, network security, system hardening, and hardware-based EDR evasion.

Repository	Description	Language
project-horseshoe	Subnet scanner for local network discovery and TCP port enumeration	Python
wifi-penetration-testing	WiFi pentest guide: handshake capture, cracking, rogue AP detection, automated Python tool	Python
defense-evasion	MITRE ATT&CK defense evasion reference with filesystem manipulation and detection strategies	Python
project-bytehide	Byte-level file techniques: JPEG data hiding, polyglot files, codec-aware MP3 embedding	Jupyter Notebook
canary-tokens	Canary token internals: how they work, how to deploy them, how to detect them	Shell
Amnesiac-Shell	On-demand private shells with automatic session history erasure for OpSec	Shell
Changeling	MAC address randomization via NetworkManager to reduce WiFi and Ethernet tracking	Shell
Ikigai	Cross-distro Linux hardening utility	Shell
one-persons-feature-is-another-persons-exploit	Image metadata leakage risks for OPSEC and how to inspect and remove metadata	Jupyter Notebook
playwright-pixelscan	Inspects what websites can collect from a web browser using Playwright mobile emulation	Python
mouse-jiggler	Cross-platform Bezier curve hardware mouse jiggler on RP2350-One spoofing a USB mouse	Python
image-to-code	Embeds images into Markdown as Base64 — self-contained, no external hosting	Python

Other (12)

Repository	Description	Language
clone-sweeper	Automated GitHub repository analytics collecting clone traffic data	TypeScript
pages	Blog and portfolio site with terminal-inspired design and auto-fetched GitHub projects	TypeScript
todays-command	Linux desktop widget delivering a daily command with quizzes and streak tracking	TypeScript
myjam	Audio converter built on ffmpeg with CLI and web GUI interfaces	TypeScript
podcast-retriever	Aggregates podcast data from iTunes Search API, RSS feeds, and Podchaser	Python
dynamic-webscraper	Extracts and structures data from any website without hardcoded parameters	Python
media-compressor	Compresses images and videos to target file sizes — Flask, Tailwind, Docker	HTML
Atlas	Web-scraping toolkit for Swedish authorities: pagination, PDF crawling, metadata extraction	Python
gif-maker	Web tool generating GIFs from images or video — React and Vite frontend, Flask backend	JavaScript
ai-job-finder	Multi-agent system automating job search and career guidance with CrewAI and LLMs	Python
ai-agent	AI agent system combining LLMs with custom tools and memory retention	Python
api-forge	AI-powered OpenAPI specification generator	TypeScript

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Work in Progress

• Project Foresight

  Try it out →

Note: since this is a WIP, it may not be accessible at all times.

Predicts weather temperature using machine learning and automated workflows.

Features:

• Integrates real-time weather and traffic data.
• Outputs weather temperature predictions based on real-time data.
• Automates data ingestion, processing, and ML predictions.

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GitHub Stats from Clone Sweeper

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