• Developed a GPU-driven fluid dynamics engine in Unity, supporting over a dozen custom fluid effects, including viscosity, turbulence, clouds, and surface tension.

• Built a custom GPU-driven particle engine that dynamically reacts to fluid motion

• Created advanced shaders for PBR-based lighting, ray-marched shadows, reflections/refractions, volumetrics, 3D parallax, and other post-processing effects.

• Engineered an AI-powered augmented reality camera mode, leveraging optical flow to overlay simulated fluids on live video, with AI segmentation for isolating people as movable fluid boundaries.

• Implemented real-time beat detection and music visualization, making fluids audio-reactive for DJs and music-driven visuals.

• Designed an extensive customization system, featuring 50+ fluid presets, hundreds of tweakable parameters, and complex color blending with custom palettes and gradients.

• Developed a built-in recording feature, allowing users to create and share liquified videos.

• Optimized for mobile performance, with a planned free release and a Pro edition upgrade for advanced features.

• Sevco is an Asset Intelligence Platform that aggregates and correlates asset data, including devices, identities, software, and vulnerabilities, to uncover security exposures.

• Designed and implemented key functionality of the Asset Graph, a core component that maps relationships between assets to enhance visibility and analysis.

• Drove the development of a backend API enabling complex, attribute-based searches across the Asset Graph, implementing a query planner to traverse relationships efficiently.

• Architected a Google Spanner schema to optimize query performance and handle high-volume asset ingestion.

• Led the design, prototyping, and development of the next-gen behavioral analysis engine for Sophos Intercept X.

• Designed the engine to detect and prevent file-less attacks that evade traditional static detection methods.

• Developed a Lua-based rule processing framework to analyze kernel events, track suspicious activity, and correlate threats for real-time alerts.

• Founding engineer from inception to acquisition by Sophos for $120M

• Conceptualized key features of the platform, which combines deep learning, behavioral monitoring, and isolation to stop cyber attacks

• The product is deployed across 25K customers, including federal agencies and an OEM by Dell

• Designed and implemented major components of behavioral detection, core architecture, and client UI

• Detection tech was ranked #2 by NSS Labs in their 2017 public test

• Named as inventor for patent on behavioral detection

• Presented at BlackHat on behalf of research concepts from Invincea Labs