About Me
Applied AI engineer and Staff Software Engineer at Marvell Technology, with 8+ years spanning cybersecurity, fintech, and semiconductors, now building agentic systems, AI developer tooling, and retrieval infrastructure. Master's in CS from Santa Clara (4.0 GPA), where I led research and taught core courses.
Most applied-AI engineers come from web development. Very few also carry appsec and payments experience. I bring both: SIEM threat detection and MITRE ATT&CK mapping at Qualys, and Click-to-Pay / payments microservices and ML risk models at Opus. I write weekly on AI security: supply-chain risk, agent hijacking, and inference-server attack surface. Distributed systems work (Celery/Redis, batch simulation orchestration) and full-stack/cloud delivery round out the toolset.
Strengths
Build agent pipelines, retrieval systems, and AI developer tooling.
SIEM threat detection and MITRE ATT&CK mapping at Qualys; write weekly on AI security.
Click-to-Pay at checkout scale, payments microservices, and ML risk models at Opus.
Celery/Redis job queues, batch simulation orchestration, CI cut from 19h to 2h.
Production web systems with Python, React, PostgreSQL, and AWS.
Led HCI research teams, taught CS courses, mentor through code reviews.