🎯 Designing & building efficient, data-driven systems across the edge, cloud, and web.

• Learning-Based-Cache-Admission
• Serverless Image Processing (AWS)
• ShuffleNetV2 Acceleration on RISC-V
• Edge Audio Classification with FaaS
• Lightweight CNN on Sony Spresense

”EdgeFaaS: A Function-based Framework for Edge Computing”Neha Vadenere, Yu-Ting Wang, Yitao Chen, Sreehari Sadesh, Ming Zhao2026 IEEE International Conference on Edge Computing and Communications (EDGE), Sydney, Australia, 2026.📄 Read on Arxiv

“Inference at the Edge for Complex Deep Learning Applications with Multiple Models and Accelerators”Ashwanth K, Dharun Narayanan L K, Dev Divyendh D, Sreehari Krishna S, Vijaya Kumar Sundar, Priyanka Kumar2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE.📄 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

⭐️ "Pushing the limits of performance and efficiency — from the cloud to the edge."