Suryavardan Suresh

Resume

I'm presently a MSCS student at NYU Courant. Always exploring but immersed into Machine Learning and Web Development. Presently focused on AI research and DS. Love problem solving and learning new things, and always prefer to keep myself busy. Apart from this, a massive sports fan - soccer, NBA, F1, UFC and a bit of football.

Education

MS CS

2023 - 2025

New York University (Courant)

B.Tech with Honors in CSE

2019 - 2023

Indian Institute of Information Technology, Sri City

Class X & Class XII

2017, 2019

R.N. Podar School, Mumbai

Experience

Coursework

Conceptual Gaps in ML

Cloud and ML

PA

FA

PL

OS

NLP

CV

AI

HPC

DBMS

ABMS

ADSA

WBD

IAE

OOP

Comm Skills

Skills

Python
C & C++
Java
HTML CSS & Bootstrap
SQL
R / Shiny
Tensorflow
PyTorch
MERN
Django

Publications

  • Unsupervised Domain Adaptation Supplemented with Generated Images (2022)

    Suryavardan S, Viswanath Pulabaigari, Rakesh K Sanodiya

  • Factify: A multi-modal Fact Verification dataset (2021)

    Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit Sheth, Asif Ekbal, Chaitanya Ahuja

  • Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (2021)

    Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty , Amit Sheth, Asif Ekbal and Chaitanya Ahuja

  • Virtual Try-On using Style Transfer (2021)

    Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn, Eswara Surya Chandaluri, Suryavardan S, and L Ranajith Reddy

MOOCs

  • Deep Learning Specialization
  • Web Applications for Everybody Specialization
  • Machine Learning with Python
  • Explore ML workshop

Projects

UDA with GANs

Research on impact of synthetic images, generated using a novel variation of a GAN, supplemented to SOTA traditional Unsupervised Domain Adaptation Algorithms (JDA, TJM, JGSA and LDAPL).

ShoeBox

ShoeBox has been designed give sneakerheads a social media experience to buying shoes. A user can stay up-to-date on new releases from the brands they follow, liked shoes and special editions on our web app

DeFactify @ AAAI

Workshop towards multi-modal fact checking and hate speech detection. Including two Shared tasks/Datasets: Memotion (Sentiment and emotion analysis of memes) and Factify (Auomated multi-modal fact verification).

Donation Platform

A Django based platform aimed at making the process of donation seemless with the help of a convenient interface (Google login, Razorpay etc.)

F1 simulator with CV steering

As part of the Virtual and Augmented Reality course, we developed a F1 simulator on Unity - with a Computer Vision based steering where we used indicators on a physical steering to track the movement/angle through the webcam of the user.

Virtual Try-On

Implemented cloth swapping simply given two images based on limited knowledge and a resource intensive architecture

Metro Simulation

Agent-based modelling approach to simulating and evlauating a city's metro architecture - with passenger count, metro frequency, operation hours, congestion etc.