- 🔭 I’m currently working on Machine Learning acceleration on FPGAs and embedded platforms
- 🌱 Exploring Computer Vision applications on edge devices using SoC architectures
- 💡 Passionate about Machine Learning, Deep Learning, and how they intersect with hardware acceleration and real-time embedded inference
- 🧠 I thrive at the intersection of hardware/software co-design and AI model deployment on resource-constrained systems
- 📫 Reach me on LinkedIn or Email
- 🌐 My Portfolio
| Project | Description | Tools |
|---|---|---|
fpga-ml-inference |
Custom ML inference engine synthesized on FPGA using Vivado HLS | HLS, Vivado, Python |
pynq-face-detection |
Real-time face detection pipeline using CNN on PYNQ board | Python, OpenCV, PYNQ |
rtl-object-tracker |
End-to-end object tracker implemented in VHDL & tested on ModelSim | VHDL, ModelSim, Quartus |
tinyml-on-rpi |
Optimized ML models (image classification & detection) on Raspberry Pi | PyTorch, TFLite, RPi |
cv-pipeline-accelerator |
Accelerated image preprocessing and filtering on FPGA | VHDL, OpenCV, Vivado |
