
SDE @ Publicis Sapient | Ex- SWE @ Factors .ai | SIH'22 Finalist | NIT Surat '23
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conversion-lamp
October 1, 2021 – October 26, 2021
A 📁 file conversion app, you'll ever need.
View ProjectInstantly
April 10, 2021 – April 17, 2021
One stop application to share files and stream your favourite Video/Music to multiple devices with minimal efforts. This progressive web app allows users to transfer files between multiple devices. It works similar to SHAREit or the Files app by Google but uses web technologies like WebRTC to eliminate the process of installing native apps for different devices and operating systems. It also provides ease of use while sharing files to people outside of the network lets say business clients instead of using something like weTransfer where we upload files to a thirdparty to deliver to the client, teleport makes sure the file doesnt leave the premise by being P2P. The whole project works via webRTC, meaning all data is transferred via P2P and no server or cloud storage is involved in the actual data transfer. However to establish a connection between two peers (devices to connect with each other directly, we need a server to negotiate network details between them ).
View ProjectSTREAMit
March 10, 2021 – March 16, 2021
A cross-platform app which helps users to run high specification applications on Low Specs Devices, by streaming our application on Client Devices and Processing all it in remote Cloud or local Servers
View ProjectGitFind-Backend
February 24, 2021 – February 28, 2021
GitFind-Backend — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are diverse in their application (streaming, file transfer, general web apps) but heavily lean towards front-end and general web development. There is limited direct evidence of data science specific projects or contributions, which suggests a potential mismatch with a 'Data Scientist' target role. The 'btech6lab' project with Jupyter Notebook and Matlab is the most relevant, but its scope and depth are unclear.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and lack details on team collaboration or problem-solving approaches.