Key accomplishments

Designed and trained a facial recognition model using personalized data with accuracy up to 94%

Formulated a novel approach that led to an increase in scores (0.6 Dice coefficient up to 0.98) on a model deployed for automated evaluation in clinical trials for patients with neuropathy

Designed and trained a semantic segmentation model which correlated with a human expert at 0.834

Co-authored Automated Skin Biopsy Analysis with Limited Data in MILLanD 2022 and authored Metabolite Identification in 1H-13C HSQC Spectra is an Image Tagging Problem

Built a GUI application with Qt for Python

Architected solutions to a variety of coding queries including design, API, algorithms, data structures, etc.


Role 1
Machine learning engineer
Role 2
Software engineer
Test Score
AI, Machine learning, Data Science
100%

Unspecified
Any
Graduate
United States
Growth
NA
Remote

Education


Languages

English