Intelligent Wearable Tech PhD Researcher | Edge AI and High Performance Computing Engineer | Vibecode Fixer
I leverage systems thinking to conceptualize and develop efficient distributed realtime sensing and AI processing systems for novel HealthTech applications at the Edge and on HPC (high-performance computing).
My work emphasizes efficiency, reliability, and downstream impact, at the intersection of software and hardware, and focuses on delivering practical solutions to complex R&D challenges.
🛠️ Key Skills: Distributed Systems, Realtime Streaming Architectures, High-Throughput Data Acquisition, High Performance Computing, AI/ML, Computer Architecture, Video Processing, Electronics Design, FPGAs
When not in front of 💻, you'l find me 🪂🏍️🧗🏻♂️🧑🏻🍳🧵
- HERMES: Multimodal Realtime Sensing & Edge AI Processing for Closed-Loop Healthcare Systems
Among my proudest achievements is the development of a real-world validated framework for synchronized, distributed multimodal sensing, and realtime edge AI processing — democratizing access to high quality data collection, and prototyping of closed-loop wearable systems. - OpenAssist: Reliable Multimodal AI-driven Wearable Robotics for Impaired Populations in the Real-world [Coming...]
OpenAssist builds on HERMES to bridge the gap between active wearable robotics (exoskeletons, prostheses) and state-of-the-art multimodal AI models from mainstream PyTorch workflows — lowering barriers to adoption of frontier AI and building of robust assistive devices.
Let’s connect on LinkedIn and explore new opportunities in distributed systems, HPC, edge AI, and HealthTech innovation!