About / a working trajectory
I’m Sanidhya Singh, an MSc student in Artificial Intelligence for Medicine & Medical Research at University College Dublin. My earlier training is in computer science, IoT and intelligent systems.
The thread through my work is practical curiosity: how a signal becomes evidence, how a model’s output earns trust and how software makes the reasoning available to someone else.
01 · Systems first
My B.Tech (Honours) in CSE, IoT and Intelligent Systems began with embedded and connected systems. Co-founding RoboBuy put that knowledge beside product research and the everyday constraints of helping students access Raspberry Pi, ESP32 and related components.
02 · Field conditions
During an IIT Delhi-associated R&D internship, I connected YOLOv11 crop monitoring with LoRaWAN. When changed lighting produced a weed misclassification, the useful lesson was not a polished demo—it was that field conditions belong inside the model-development loop.
03 · Evidence and communication
At DaRyte, I worked on ReAttire, a multi-role learning platform for veteran reskilling, and authored two reported AI-literacy/corporate-readiness guides for non-technical readers. The final guide titles and distribution status still need confirmation; the writing contribution is recorded in the supplied evidence.
04 · Medical AI
Neural compression led into EEG analysis, protein graphs, retinal imaging and evidence-grounded clinical retrieval. At UCD, I’m developing the domain understanding and research discipline needed to work responsibly with biomedical data and medical-AI systems.
Selected evidence
Led/contributed to an environmental IoT initiative that reached the national finals during the second undergraduate year. Certificate held; exact event details can be attached when available.
Selected certificates
Completed formal learning; credential links can be attached later.
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