Hi there! I'm Yash Chowdhary. I'm a software engineer at Goldman Sachs. I earned my undergraduate degree at the National University of Singapore, where I majored in Computer Science. I specialized in the fields of Artificial Intelligence and Computer Security, the latter for which I received a Certificate of Distinction.
Through the various internships I've done, I've gained experience in software engineering and I'm looking forward to contributing my fullest at every endeavour I take on.
I'm a driven, diligent, and passionate guy with a knack for sports - especially football.
Check out my website to learn more about myself!
Computer Science Major, specialised in the fields of Computer Security and Artificial Intelligence.
Relevant Modules taken:-
Under the Student Exchange Programme (SEP), I spent a semester abroad at Georgia Tech. Here, I took classes that Tech is renowned for.
Courses taken:-
I studied science - Physics and Chemistry, along with Computer Science and Math as per the CBSE curriculum.
Activities:
Tutored 2 courses over the course of 2 semesters -
CS1010: Programming MethodologyDeveloped a Chrome extension which is the opposite of incognito. It tweets out all of your activity, to make
sure you escape no embarassment on your seemlessly benign browsing session.
Made use of Node JS for sending HTTP requests, while making use of client-side scripts to anonymously gather
user activity.
Winner - Most Annoying Hack
Developed an Android app to manage sports activities across campus. Includes sign-ups, real-time scores and
chat functionality.
Used XML for generating the UI/UX. Also made use of the real-time database Firebase to take care of user
authentication and storage of user data.
Developed a CLI-based application that seeks to solve club/team - management issues.
The application is targeted at student organizations (such as clubs and societies) that are characterized
by a well-established hierarchy. It helps clubs manage and organize their activities and members efficiently
and effectively.
It was built by a 4-member team led by myself, as part of the curriculum of the module CS2103T - Software
Engineering.
Relevant Tech:
As part of a 3-member team, I developed a web application that allows users to upload videos and search for
specific keywords and text that appears in it, and let them seek to those instances in the video.
The API server was built on NodeJS. Our computer vision was powered by Tesseract - an open source OCR library.
For speech to text recognition, we used IBM Watson's API endpoints. All of this was hosted on an AWS EC2
instance.