Software Engineer & Applied Researcher | Cryptography • Edge AI • Mobile Architecture

Welcome to my GitHub. I am a software engineer and researcher focused on the intersection of privacy-preserving technologies (ZKP), computer vision at the edge, and scalable cross-platform architecture.

I specialize in optimizing heavy computational workloads—such as Zero-Knowledge Proof generation and vision-language model (VLM) inference—on resource-constrained devices, while building robust, production-ready applications that bridge hardware and software.

I actively develop, scale, and maintain cross-platform mobile applications. You can explore my published works, ranging from utility applications to interactive idle games, on the App Store and Google Play:

• Applied Cryptography & Web3: Designing and benchmarking Zero-Knowledge Proofs (ZKP) circuits using Circom and Snark.js. Currently researching privacy-preserving proximity verification systems for Unmanned Aerial Vehicles (UAVs) without disclosing raw location data.
• Edge AI & Computer Vision: Architecting hierarchical object detection pipelines (YOLO, GroundingDINO, NanoOWL) optimized for NVIDIA Jetson devices. Deep expertise in resolving CUDA memory bottlenecks, TensorRT optimization, and Docker containerization for edge deployment.
• Cross-Platform & Game Architecture: Building high-performance mobile applications (e.g., Oshikatsu Camera/Nikki) and interactive idle games (Yurupura, Burger Tap). Focused on advanced state management, secure data handling, custom UI/UX, and audio integration (FlameAudio) using Flutter and React Native.
• IoT & Hardware Integration: Developing reliable Python-based data logging systems that interface directly with hardware (Raspberry Pi, GPS modules, I2C environmental sensors like BME280) for real-world data aggregation and analysis.

• Privacy-Preserving UAV System: Architecting a system utilizing background location tracking and ZKP to generate secure proximity proofs for drones, bridging cryptography with mobile edge capabilities.
• Hierarchical Edge AI Detection: Engineering containerized NanoOWL/YOLO pipelines on Jetson devices for complex physical-world detection (e.g., specific objects within broader bounding boxes) while managing strict memory limits and OOM errors.
• Mobile App Ecosystem: End-to-end development of consumer-facing utility and gaming apps, featuring complex image processing (cropping/importing), secure in-app purchases (IAP), and engaging game loops.

Languages

AI, Edge Computing & Hardware

Cryptography & Distributed Ledger

Mobile, Frontend & Backend

Infrastructure, DevOps & OS

I believe in continuous deployment, rigorous benchmarking, and open knowledge sharing.

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