Projects

DiverseDermDiff

UCLA, 2024
paper

Limited representation of darker skin tones in current dermatology datasets and benchmarks hinder the performance of and ability to ethically and safely deploy Artificial Intelligence for dermatology in the clinical setting. We present DiverseDermDiff a image generation pipeline for diversity evaluation in dermatology datasets by reformulating it as a classification task. DiverseDermDiff combines InstructPix2Pix and LLaVa for image generation and prompt verfification, respectivelyy. Fine‑tuned ResNet‑18 classifier on the diverse set of images led to 21.21% accuracy gains. We evaluated the diversity in HAM10k and DDI datasets.

Persona Chatbot

UCLA, 2024
paper / code

The Existing literature does not focus on evaluating different aspects of Persona injection. We employ prompt tuning techniques, specifically in-context and chain-of-thought methods, to generate open-ended dialogues that closely align with the assigned personas. Then performance of our model is evaluated using a robust framework that includes metrics such as LLMEval (using 5 LLMs) for fluency and Coherency , MMLU score for reasoning ability. We also achieve better performance than human generated dialogues for Fluency and Coherency. Additionally, we evaluate the toxicity scores to ensure the generated responses are devoid of harmful content, bias, and dishonesty to further enhance the chatbot’s performance. The results demonstrate visible improvements in the chatbot’s ability to generate coherent, contextually relevant, and persona-aligned dialogues.

SAE eBAJA

SAEINDIA, 2022

I participated in the SAE eBAJA nationwide design competition. Being the Co-Head of Powertrain Department, I designed and implemented the Electric Powertrain of the All-Terrain Vehicle (E-ATV).We used a 4kW 48V PMSM motor, 48V 150A PMSM controller and 110 Ah 48V Li-ion Battery. Also installed a motor controller to regulate the speed and torque of the motor, a DC to DC converter to power auxiliary units and integrated hall sensors. Our team secured AIR 8 among 82 teams nationwide in eBAJA design competition.

SEC Filings Analyzer

IIT Kharagpur, 2022
code

This was a hig-prep problem in Inter IIT Tech Meet 10.0. We created a dashboard to measure growth and profitability for investors. I finetuned word embeddings that were generated using a pre-trained BERT model from Huggingface. I scraped SEC Filings from 10-K, 10-Q and 8-K forms for 292 companies using BeautifulSoup.