yashagarwal17

Yash Agarwal

"Do it with perfection, or don't do it"

Well, this defines the way I work in life. Either i put in all my efforts to reach my goal or i prefer to stay back.
Currently studying at the Indian Institute of Information Technology, Allahabad, i am pursuing my B. Tech degree in Electronics and Communication Engineering branch. A machine learning enthusiast, i am constantly working hard to develop my skillset to as to apply my ideas to real-world problems. A web developer and business strategist, i am currently exploring various machine learning algorithms and trying to develop end-user products.
Apart from tech side, i am dancer and i love plaing guitar and football. Books, particularly novels, have always fascinated me and being my real companion when i am alone.
Exploring the electronics, the way in which IoT and VLSI can revolutionize the way people work and live has hit my mind hard. Integrating software, hardware and AI is a major field to work on, and I am currently studying the ways in which people can interact with gestures and real-time motion. One of my projects named 'ComputerVision' was a simple web browser application that incorporates the power of various machine learning libraries and controls it with motion and postures.
But how much I learn or achieve, I still am a learner and will always be. Exploring new technologies and competing my biggest enemy i.e. myself, is the thing which helps me push myself to my limits.

Projects

Smart Water Grid

This project demonstrates a decentralised smart water grid which is implementex using IoT and Blockchain. All the users can purchase and sell pure water on grid in exchange of tokens.Firebase, NodeMCU, Arduino

Skills

JavaScript
Node.js
MySQL
Elasticsearch
Machine Learning

Experience

  • Expedia Group - Associate SDE Intern
    May 2020 - July 2020

    • Worked with the User Generated Content team to build a 5 star rating system for the tags of the properties by extracting them
    from user reviews so that the UGC clients like Hotels.com and Expedia.com can display them on their websites on the basis of
    confidence score and credible intervals of the ML model.
    • Implemented A Machine Learning Statistical model called Bayesian Average from scratch in Pyspark and applied decay logic for
    older reviews.
    • Computed tag ratings for a data of over 100 million reviews using Big data tools like Qubole, Hive Tables and Pyspark.
    • Pushed the computed data to AWS Elasticsearch and resolved version conflicts so that the data can be directly used by UGC
    clients

  • Cisco - SWE
    January 2021 - Present

    Industrial IOT SWE Intern