System Context.
“Bridging the gap between high-dimensional theoretical research and secure, scalable AI implementations.”
Technical_Stack
- Architecture LLMs / RAG
- Security Threat Modeling
- Core_Langs Python / C++
- Frameworks PyTorch / Strands
Connect_Channels
The Journey
Currently a **Data Scientist at Amazon Web Services (AWS)**, I focus on engineering the intersection of AI and security. My work revolves around building agentic systems that can reason through complex threat landscapes and automating the “Shift-Left” security paradigm.
My academic foundation was built at **Columbia University**, where I pursued an M.S. in Applied Analytics (GPA 4.1/4.0), and **Università Bocconi**, where I earned my B.S. in Economics and Management. This dual background allows me to communicate technical nuances to stakeholders while maintaining the mathematical rigor required for state-of-the-art AI development.
When I'm not architecting systems at AWS, I contribute to the open-source community through projects like **InfluencerPy** and **ThreatForest**, or share deep-dives into LLM interpretability on **Medium**.