AI & Systems Engineer specializing in NLP/RAG pipelines and applied security ML — from a 1.5M-request malicious traffic classifier to a live retrieval-augmented interview assistant.
A retrieval-augmented generation system that answers interview-style questions by grounding responses in real source documents rather than hallucinating. Deployed live and publicly accessible. Runs on quantized local inference — no per-query API cost, and it works fully offline.
Graduation project — an AI-enhanced Web Application Firewall that classifies HTTP traffic as malicious or benign at scale, deployed on Google Cloud.
Fine-tuned transformer model for message-level spam detection, built to handle noisy, real-world text input.
End-to-end pipeline predicting customer attrition from behavioral and account data, with model comparison across gradient-boosted trees.
Power BI dashboards built during a data analysis internship, translating raw operational data into decision-ready visuals for stakeholders.
Taught applied engineering and technology concepts, building hands-on curriculum for young learners.
Built Power BI / DAX dashboards to translate operational data into stakeholder-ready insights.
Taught embedded systems programming fundamentals through project-based robotics instruction.
Graduated with a focus on applied AI. Graduation project: AI-Enhanced Cloud-Based WAF (98% accuracy, graded A+).