Now
Updated
I’m working as a full-stack and machine learning engineer at HOPMEDS HEALTH TECH PRIVATE LIMITED, building radiology software and ML workflows. My independent sleep-stage study and GPT-from-scratch learning implementation have completed their current scope.
Engineering
Medical-imaging pipelines and the software around them: PACS integration, DICOM storage and retrieval, Orthanc, OHIF and web-based imaging workflows. Experience
Research
The sleep-stage study’s implementation and reserved-person evaluation are complete. Publication and deployment remain pending; detailed results and artifacts are held for a later release. External-cohort validation is a separate next research decision. Study design and limitations
Learning and writing
I have completed the autograd, makemore and GPT-from-scratch lessons represented in my notebook collection. The GPT project implements a character-level decoder transformer. I’m maintaining the full learning notebook and continuing to study spiking neural networks.
Next
Prepare the completed sleep study for scientific communication, consider an external-cohort validation protocol, and define a future motor-imagery experiment. These are next steps, not completed results. Research direction