Selected projects.

Product and engineering work across mobile, AI, and full-stack systems.

Voluma · AI Architectural Visualization Tool

Product Design & Engineering · 2026.04 – 2026.05

• Identified the core problem: architectural designers and real estate professionals lack a low-cost 3D visualization tool during early-stage planning — traditional rendering pipelines rely on specialized software and outsourced teams, creating bottlenecks that multi-modal models can now eliminate.
• Independently designed and built the product end-to-end: AI-driven generation from 2D floor plans to photorealistic top-down 3D renders, with community sharing and one-click export.
• Translated UX requirements (geometric fidelity, material realism, annotation removal) into model prompt constraints; benchmarked multiple models and selected gemini-2.5-flash-image for its superior instruction-following on structured spatial inputs, balancing output quality and per-call cost.

ML Training Data Generation Pipeline (Android Malware Detection)

System Design · 2025.09 – 2025.12

• Framed the core problem: security researchers don't just need “a dataset”, they need a reproducible, extensible capability to continuously generate high-quality training data, enabling iterative model improvement.
• Redesigned one-off data processing scripts into a reusable data generation pipeline supporting the full train to evaluate loop for malware detection models.
• Designed for diversity (17+ obfuscation strategies), controllability (dual-pipeline architecture with stage-level monitoring), and reliability (retry + fallback mechanisms, 82% success rate at scale).
• Processed 12,000+ Android malware samples and generated 7,900+ obfuscated variants; the system was reused by subsequent research teams, significantly reducing data preparation cycles.