๐ฏ Designing efficient, data-driven systems across the edge, cloud, and web.
- Serverless Image Processing (AWS)
- ShuffleNetV2 Acceleration on RISC-V
- Edge Audio Classification with FaaS
- Lightweight CNN on Sony Spresense
โInference at the Edge for Complex Deep Learning Applications with Multiple Models and Acceleratorsโ
Ashwanth K, Dharun Narayanan L K, Dev Divyendh D, Sreehari Krishna S, Vijaya Kumar Sundar, Priyanka Kumar
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE.
๐ Read on IEEE Xplore
- Researcher, VISA Lab (ASU): Edge-based inference, serverless ML
- Research Intern, Sony (AMuDA Lab)
- Founding Member, FREDA - Fair, Responsible, Ethical Data Science & AI
- Member, Google Developer Students Club (GDSC)
- Serverless and FaaS Frameworks for Real-Time ML Inference
โญ๏ธ "Pushing the limits of performance and efficiency โ from the cloud to the edge."