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 - football, NBA, F1 and UFC.
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
- Research Intern
Artificial Intelligence Institute of UofSC (August 2022 - Present)
- Research Intern
Wipro AI Lab (April 2021 - August 2022)
- ML Intern
TechCiti Software Consulting PVT LTD (July 2020 - August 2020)
- Core Member
Epoch ML club IIITS (December 2020 - Present)
- Project Team Lead
IOTA club IIITS (September 2020 - December 2021)
Coursework
PA
FA
PL
NLP
CV
AI
HPC
DBMS
ABMS
ADSA
WBD
IAE
OOP
Comm Skills
Skills
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
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.