Parth Patwa

We offer proprietary data products and RL environments for healthcare and drug discovery

Worked on Gen AI projects as a part of AWS Generative AI Innovation Center. Built agentic systems across industries. Paper accepted at Neurips 2025

Research on Parameter efficient fine tuning of LLMs in a low resource setting. Research on high quality data generation using LLMs. Paper accepted at Lrec-Coling 2024

designed and developed a pipeline to generate 100,000+ synthetic polarization images (stereo pairs).

Lab - Visual Machines Group Advisor - Prof. Achuta Kadambi Research - computer vision. Heartbeat detection from facial videos. Published at CVPR 2022.

ece 232e : large scale social networks

Computer vision research, object detection, few shot learning. Achieved 97% F1 score on few-shot object recognition using siamese networks.

Pathcheck is a spin off from MIT. Working on COVID-19 outbreak prediction, Proximity Sensing for digital contact tracing, and other challenges related to COVID-19. Papers accepted at Neurips workshop, Journal of Behavioral Data Science, IJCAI workshop. Won $5000 at the covid symptom data challenge by CMU.

Founded and lead the AI/ML club of IIITS. Conducted coding session, hackathons, paper reading sessions and gave talks and tutorials on AI/ML topic.

OCR, face recognition, aadhar masking

Used Transformers and Character level CNN to generate message embeddings from chat data. The embeddings are used to cluster similar sentences together. Designed Deep Learning models to predict next message from previous messages. Performed qualitative and quantitative analysis of the results through code and human judgement. Full paper accepted and received Innovative Application Award at IAAI (co-located with AAAI)

Signals and System track. Courses: Computer vision Machine Learning for Bioinformatics Computational Imaging Large Scale Data Mining Learning Machines Image Processing for Biomedicine

TA for data structures and algorithms.