Published researcher · 43 citations · h-index 4.
Triple-degree technologist with 4+ years at Capgemini building enterprise security systems and ML pipelines, now finishing MS Data Science at Pace University.
I'm Nipun Navadia, a published AI researcher and cybersecurity practitioner, completing my MS in Data Science at Pace University (Dec 2026), while holding an MTech in Software Systems from BITS Pilani and a BTech in Computer Science.
At Capgemini, I spent 4 years building enterprise security systems: investigating high-priority incidents alongside CISOs and DPOs, eliminating 750K+ vulnerabilities, and automating operations across 20,000+ machines. I know what shipping under real pressure means.
In parallel I've been publishing peer-reviewed research on AI, deep learning, IoT security, and autonomous systems. 43 citations, h-index 4. My 2025 papers on Explainable AI for IoT intrusion detection reflect where I'm headed: intelligent, interpretable security systems.
Based in New York, NY. Open to full-time roles in AI/ML engineering, data science, and cybersecurity, especially where they intersect.
Software engineering depth, AI/ML methods, and enterprise security expertise, across three institutions on two continents.
From software engineer to associate consultant, shipping at enterprise scale across security operations, automation, and data intelligence.
End-to-end machine learning pipelines and data science solutions grounded in real datasets and measurable outcomes.
9 peer-reviewed publications spanning AI, deep learning, IoT security, cloud computing, and autonomous systems with co-authors at Amity University and international institutions.
Battle-tested across enterprise security operations and applied ML every tool here has been shipped with in production.