Experience

Precision Systems Design Laboratory Student Intern

MAY 2023 - PRESENT

Interned at the Precision Systems Design Laboratory (PSDL) at the University of Michigan Ann-Arbor
Developed an object detection algorithm (using a convolutional neural network based approach)
Generated a point cloud of target objects and contributed to the Computer Aided Design (CAD) of a prosthetic arm

EXPERIENCE

Indian Health Action Trust (IHAT) Member, Data Science Team

DECEMBER 2023 - MAY 2024

Member of the Data Science Team at the Uttar Pradesh Technical Support Unit of IHAT, an organization affiliated with the Uttar Pradesh Ministry of Health
Designed an automated system for tuberculosis screening from X-Ray images using image enhancement techniques and object detection algorithms, such as Gaussian masks and Mask R-CNN

EXPERIENCE

DevRev.ai Intern, Strategic Operations Team

MAY 2023 - OCTOBER 2023

Member of the Strategic Operations Team at unicorn startup DevRev.ai
Worked to automate internal systems, by developing an app to streamline requests to the HR department
Developed various tools to enhance internal communications using snapins (webhooks) on the DevRev platform

EXPERIENCE

Projects

WasteShark Arduino, SIFT

Independently designed "Wasteshark", an ROV (Remotely Operated Underwater Vehicle) out of sustainable, recycled materials at an affordable price. Developed robot to be able to capture plastic waste in order to combat the issue of marine pollution in Hong Kong. Capable of autonomously collecting waste up to 25m depth. Recognized by the Climate Action Network South Asia, SCMP and Homemory.

PROJECTS

Stock Simulation Python, Flask, Tkinter

Designed a stock simulation game as a web application, sourcing real-world data using the Google Finance API. Developed and trained algorithms for predicting future performance of stocks and visualizing data. Web application supports multiplayer gameplay, features advanced graphics and provides AI insights into player performance.

PROJECTS

Weather R, Python

I began gathering data from government sources and organized it into a comprehensive dataset. Then, I utilized statistical techniques like measures of central tendency, correlation analysis, and regression modeling to identify patterns and relationships within the data. My analysis suggested the optimum temperature was 19.8° C. This experience highlighted the power of statistics in comprehending complex datasets while making predictions.

PROJECTS