Khushi Vishwanath Rangdhol

•Designed room-temperature YIG testbench (resolution 6 µT—10× Hall-sensor baseline) with VNA, electromagnets, custom current drivers. • Wrote OOP Python suite for remote data acquisition/analysis. • Co-authored preprint on magnon mirror-image interference.

• Built Node.js & Python micro-services for ticketing/social platform • Wrote 30+ blockchain articles (avg 8k views each); automated readership KPI dashboards in pandas. • Collected & cleaned historical market data (Alpha Vantage, Yahoo Finance); built matplotlib/seaborn EDA reports. • Back-tested moving-average momentum strategies; best model beat buy-and-hold by 8 pp over 3 yr

- Worked closely with the project management teams to develop and maintain applications - Managed documentation of developed applications. - Conducted User Acceptance Testing on various applications before release. - Assisted with the processes of app development to product launch.

- Assisted in developing and commercializing artificial intelligence staining technology (AIstain) for veterinary pathology laboratories and educational centres. - Collaborated with a team to develop a machine learning algorithm using Python and PTGui for a virtual immunohistochemistry project. - Implemented image-to-image translation techniques, training a neural network to accurately identify and virtually stain plot points on unstained tissue samples. - Achieved significant improvements in virtual staining accuracy and efficiency, advancing digital pathology and reducing the need for traditional staining methods.

• Visualize atom responses to microwaves using Igor Pro • Study Kittel model interactions and photon absorption