B.Tech Electronics and Computer Engineer student at VIT Chennai.
R&D and Projects Lead at Tech Researchers Club.
Building toward AI Edge Engineering — on-device inference for real-world constrained environments, with an interest in how humans interact with intelligent edge systems.
- Learning ML fundamentals and deploying models on edge hardware (Raspberry Pi, Arduino Nano 33 BLE Sense)
- Exploring TinyML and LiteRT for constrained device deployment
- Interested in the intersection of wearable technology and on-device health inference
Comfortable with — Python, C/C++ basics, Linear Algebra
Learning — TensorFlow / LiteRT, model quantization, OpenCV, edge deployment pipelines
Hardware — Raspberry Pi 4, Arduino Nano 33 BLE Sense (Learning)
Casting Product quality Prediction using CNNs in Manufacturing
Recently appointed as R&D and Projects Lead at Tech Researchers Club — currently building out the team and direction. Long-term direction: Edge AI for healthcare and manufacturing — predictive systems, wearable health monitoring, and on-device inference at scale.
LinkedIn : http://www.linkedin.com/in/aathira-raajganesh-87029431b Email : aathira.kr.3116 @ gmail.com
Currently heads-down learning. Open to research collaborations and internship opportunities in Edge AI and embedded ML.