I build practical systems around edge AI, computer vision, intelligent video, and agent-native software, with a focus on turning emerging technologies into reliable, deployable tools.

My background is in real-time video and vision systems, including video pipelines, object detection and tracking, edge inference, and system integration. More recently, I'm exploring how AI agents, multimodal models, and trusted media technologies can extend traditional video systems.

I'm currently building and exploring projects around:

• Intelligent Video — detection, tracking, video understanding, event analysis, and privacy-aware processing
• Edge AI — efficient inference and deployment across embedded and edge platforms
• Vision + VLM — applying modern vision-language models to practical video workflows
• Agentic Systems — designing tools, APIs, and capabilities that AI agents can reliably use
• Video Security & Media Trust — video authenticity, integrity verification, tamper detection, and evidence-oriented tooling
• IoT & Local Intelligence — lightweight sensing, automation, and local-first intelligent systems

Core

C++ · Python · OpenCV · GStreamer · DeepStream · Docker · Linux

AI / Vision

Object Detection · Multi-Object Tracking · Video Analytics · Edge Inference · VLM · Multimodal AI

Platforms

NVIDIA Jetson · RK3588 · x86 Edge Systems · GPU / Accelerator-based Inference

Currently exploring

AI Agents · MCP · Local LLMs · Agent-native APIs · Trusted Video · Embedded AI · IoT / Home Automation

I'm particularly interested in projects that sit between research prototypes and real-world systems — small enough to understand, deploy, and maintain, but useful enough to solve an actual problem.

Some recurring themes in my work:

• real-time and intelligent video processing
• edge deployment and resource-efficient AI
• privacy, security, and media trust
• local-first AI
• agent-friendly system design
• practical open-source tooling

I'm building open-source projects through @Nanexus-AI, with a focus on practical tools for edge AI, intelligent video, agentic systems, and trusted media.

My goal is to explore how open technologies can move beyond demos and prototypes into dependable tools for real-world systems — while keeping them understandable, modular, and useful to other developers.

I'm open to collaborations involving applied computer vision, intelligent video, edge AI, agent-native systems, system integration, and related open-source projects.

If you're working on an interesting real-world problem in these areas, feel free to get in touch.

Email: edge.ai4cv@gmail.com