Hi, I'm Akash and I'm studying EE at Stanford. I design and build medical devices.
I work on embodided AI at Fetz as a founding engineer, wearable genomics at the Krishnan Lab and ingestible devices at the Innovative Biomaterials Lab. I hold broad interests in neurotech, medtech equities, next-gen compute, and automation for hardware design and fabrication.
On-body Genotyping
human trials
PMICs for Wireless Power Transfer
Ingestible Motility Restoration
Developed an ingestible bidirectional neural interface for recording and stimulating of small intestinal motility. Increased contraction frequency in vivo (pigs) by 89% and food transit distance by 3.68x. Proof-of-concept large-form device tested in an IRB-approved human trial.
ML-Designed AAVs
Used LSTM neural networks and machine learning-guided mutagenesis to design adeno-associated virus capsids that displayed a predicted ~26x increase in viral yield from the wild-type in production viability. Also used ML to design non-heaptotoxic AAVs.
On the inherent complacency of planning.