Jyoo Janu

I built Cloud Security AI Sentinel, a Python automation pipeline that uses the Google Gemini API and RAG to classify security events by severity. I embedded new events, retrieved relevant historical context with cosine similarity, and published results through a live auto-updating dashboard. I reduced API costs and rate-limit failures by permanently caching embeddings and adding retry logic for transient API errors. I automated the six-hour pipeline schedule with GitHub Actions and Git-based version control. I also developed a Flask-based Career Prediction ML Website, connecting REST APIs and a Scikit-learn ensemble model to a frontend. The model achieved 94% prediction accuracy across 10 career categories, with SQLite prediction-history storage, JSON data processing, and printable PDF reports. As an Information Technology graduate, I bring hands-on experience in Python, machine learning, SQL, web development, and automation. I'm an immediate joiner with zero backlogs and am keen to support AI-driven solutions.