Building practical software and intelligent systems that solve real-world engineering problems β from silicon to the cloud.
I enjoy designing systems that combine AI, machine learning, embedded hardware, Linux, and software engineering to solve practical engineering challenges β usually somewhere at the intersection of hardware constraints and intelligent software.
Currently exploring:
- π§ Edge AI β deploying ML models on resource-constrained devices (Raspberry Pi, microcontrollers)
- π§ Linux systems programming & headless environments
- ποΈ Computer Vision
- π IoT architectures & embedded networking
- βοΈ Performance optimization across the stack
Organizations: @defender-pi Β· @noty-smns
Languages
AI / ML
Systems & Embedded
Web & Tools
| Project | Description | Stack |
|---|---|---|
| defender-pi4-engine | YOLO26-based wildlife detection system running on edge hardware | C++ |
| Process-Clustering-Anomaly-Detection | Anomaly detection system using process clustering techniques | Python |
| smns-ai-note-craft | AI-powered cross-platform academic assistant with handwriting recognition, voice transcription, and intelligent document processing | TypeScript |
| Drone-UAS-Analysis-Study | Structural and fluid flow simulation of the NACA 6415 airfoil using ANSYS Mechanical & Fluent β deformation, stress, and aerodynamic coefficient evaluation | ANSYS |
- πΌ LinkedIn: linkedin.com/in/swaragvs
- π§ Email: swaragvs09@gmail.com
- π Portfolio: swaragvs.netlify.app
"I enjoy building systems that bridge software, hardware, and AI to solve real engineering problems."