🚀 Master JavaScript, React, Python, and Frappe Framework over 24 weeks to secure a role at rtCamp. Track progress and build essential skills.
Cloud Security & SOC portfolio with AWS labs, SIEM monitoring, and threat analysis. AWS | Wazuh | Splunk | Python
CLI tool for managing SSH connections easily and efficiently.
This project is a dynamic portfolio website that showcases the author’s journey of professional growth and transition into the technology field. Designed as a strategic career development platform, it leverages modern web technologies with a performance-first approach, prioritizing accessibility, user experience, and technical precision.
🤖⚽ AI Football Scout - Computer Vision, Performance Prediction & NFT Highlights | Career transition project: Real Estate → AI/Data Consultancy
[Breaking Into Tech] Interactive Power BI dashboard analyzing 49,000+ responses from the 2025 Stack Overflow Developer Survey. Insights on AI adoption, compensation trends, and learning pathways.
This project explores neighbourhood dynamics, pricing behaviour & host performance of Airbnb in Brisbane
Portafolio de Ingeniería de Software & CV Interactivo. Refleja mi transición de Logística a Tech con stack moderno: Python, Jinja2, HTML5/CSS3 y Automatización CI/CD.
Presentazione professionale e percorso di crescita nelle tecnologie emergenti e nell’automazione intelligente.
This AI model analyzes your current field, employment level, and skill set to recommend tailored career transition options, helping you find the right next step.
About me
A curated collection of AI tools for research, productivity, and automation-documenting my transition into the IT ecosystem through practical technology exploration.
Config files for my GitHub profile.
Costruisco il mio futuro nell’AI Automation e nella Data Science, unendo tecnologia, neuroscienze e agilità per creare valore reale.
AI-driven career search ecosystem: semantic experience matching, conversational STAR interviews, and multi-framework job analysis for targeted resume generation.
Python fundamentals - Week 1-2 of ML engineering journey. Core syntax, data structures, comprehensions, NumPy/Pandas basics. 35-year C#/.NET veteran building Python skills for production ML/AI systems.
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