Experience

Swasthya AI | Backed by 100X.VC
• India
• Technology, Information and Internet
• 1 - 100 Employee
• Web Development Intern

  • Aug 2023 - Present


KJ Somaiya College of Engineering, Vidyavihar

• India
• Higher Education
• 100 - 200 Employee

• Research Intern

  • Mar 2022 - Jul 2023

  A new pipeline based approach to cluster and label Dark web Pages. A pipeline that has multiple components that are:- 1. Utilising the DOM tree of the HTML pages to identify certain characteristics and train a Graph Neural Network that is used to label the pages. 2. Clustering approach to group the pages without actually opening the page by using style and structural similarities between the pages.

• LiDAR cap for the blind with text-to-speech (TTS) navigation system

  • Jan 2022 - Mar 2022

  In this internship, we mainly worked on the areas of machine vision specifically stereo vision viadepth cameras and stereo cameras. As a primer to the depth and stereo vision space we workedon and researched about types, features, capabilities and availability of depth and stereo cameras.We also performed a detailed review and feasibility analysis and cost benefit comparison (bycreating a comparison on specific features such as depth, range, sensor details and price). Post thiswe discussed about the suitable sensor for our application with Dr. Ninad Mehendale and came tothe conclusion of selecting the “Intel RealSense 415 model” as the best fit for our application. Postthe sensor selection we worked hands on to the building of the actual hardware where I wasconcerned with the software aspect of the cameras. To elaborate, I in collaboration with our teamleader Atharva Patil worked on the code for stereo image calibration and processing of image datafrom the stereo camera we were going to use in python and OpenCV library in conjunction withthe Arduino IDE for interfacing. Show less



NUDOC DIGITECH LLP

• Software Developer Intern

  • Jan 2022 - Oct 2022

  Roles:- 1. Worked on the react based fronted and designed the UI & UX in collaboration with the front-end team and utilised Tailwind and Material UI libraries. 2. Automated instance deployment and created a micro-service architecture to suit the needs of the client. 3. Complete Dashboard and API integration. 4. Tried and tested multiple architectures like serverless( AWS Lambda ) and Azure function to offload processing tasks 5. Integrated websockets for real time communication between client and processing servers. Show less

• Breast Cancer Detection

  • Jan 2021 - Jul 2021

  Wrote a minified script in python to detect and classify breast cancer using multiple techniques like Naïve Bayes algorithm , K-nearest neighbours (KNN) algorithm, Random Forest, SVM, Decision Trees etc. Validated the best methodology for the dataset used and optimised the model for the best outcomes. Wrote a minified script in python to detect and classify breast cancer using multiple techniques like Naïve Bayes algorithm , K-nearest neighbours (KNN) algorithm, Random Forest, SVM, Decision Trees etc. Validated the best methodology for the dataset used and optimised the model for the best outcomes.