Bridging the gap between Enterprise Security Governance and Deep Learning.
- Expertise: Specialized in building Autonomous AI Agents and RAG-based Security Systems for enterprise-scale log auditing.
- Background: 5+ years of experience in Security Governance (SAP GRC) and Access Control, now applying these principles to LLM Guardrails and AI Safety.
- Research: Author of "Geometric Deep Learning for Multiple Conformation Generation from Electron Density Images," published in IEEE CAI2025.
- ๐ญ SecuriteAI: Developing a schema-agnostic, RAG-driven audit tool that parses thousands of Linux security logs to identify behavioral anomalies.
- ๐๏ธ LLM Systems: Implementing function-calling protocols to connect LLMs with secure enterprise APIs for real-time privilege verification.
- ๐ง Advanced DSA: Daily solving LeetCode Medium/Hard problems to maintain algorithmic rigor for high-performance system design.
- Languages: Python (Expert), SQL, C++.
- AI/ML: PyTorch (from-scratch implementation), Transformers, LLM Orchestration (RAG, Tool-Use).
- Systems: Linux Syslogs, Vector Databases (ChromaDB/Pinecone), SAP Security.
- LinkedIn: linkedin.com/in/saurav-jayakumar/
- Email: sauravjayakumar27@gmail.com
- Location: Frisco, TX (Greater Dallas Area).
- ๐๏ธ Huge Formula 1 fan (Always rooting for Max Verstappen).
- ๐ธ Active Pickleball player.