I build intelligent products across AI, full-stack software, computer vision, and edge systems. My work sits at the intersection of research-driven engineering and modern product design.
I focus on building intelligent systems that are practical, scalable, and product-ready.
That includes LLM applications, GenAI workflows, CNN-based vision pipelines, backend architecture, modern frontend systems, and hardware-integrated AI products.
I care about clean execution, fast learning loops, and building things that can move from prototype to real deployment.
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Applied machine learning, LLM integrations, GenAI pipelines, computer vision, CNNs, inference systems, and production-facing AI workflows. |
Full-stack applications with modern frontend design, scalable backend systems, strong architecture, and clean developer experience. |
Embedded systems, Jetson and Raspberry Pi deployments, ESP32-based builds, and AI systems that interact with the physical world. |
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AI-powered camera automation system for autonomous submarines, with marine life tracking and sign language translation capabilities.
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Core architecture and local AI processing for humanoid lab assistants and drone-based intelligent systems.
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A high-performance C++ library for reusable logic, algorithmic problem solving, and efficient low-level utility design.
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A full-stack product interface focused on smooth UX, modern frontend patterns, and practical backend integration.
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Building AI-native applications, LLM-powered workflows, CV systems, and full-stack products with strong execution quality. |
Exploring local inference, MLOps pipelines, edge intelligence, and software-hardware systems that can operate outside the lab. |
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Build useful things Products should solve real problems, not just look impressive. |
Design with intent Clean interfaces and clear systems create better outcomes. |
Ship with depth Strong engineering matters when prototypes become real systems. |