
GenAI researcher; NeurIPS author
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robustNN-transformers
June 8, 2026 – Present
Robust Neural Learning via S-Divergence: ViT + BERT + CLIP benchmarks with interactive 3D visualizations. Extends rSDNet (arXiv:2603.17628) to Transformers across medical imaging and clinical NLP.
View ProjectImageCaptioning
November 17, 2021 – November 30, 2021
Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions. The dataset will be in the form [image to captions]. The dataset consists of input images and their corresponding output captions. Encoder The Convolutional Neural Network can be thought of as an encoder. The input image is given to CNN to extract the features. The last hidden state of the CNN is connected to the Decoder. Decoder The Decoder is a Recurrent Neural Network(RNN) which does language modelling up to the word level. The first time step receives the encoded output from the encoder and also the START vector using Use Pretrained Resnet-50 model trained on ImageNet dataset (available publicly on google) for image feature extraction and created 4 layered RNN layer model and other relevant layers for image caption generation
View ProjectPython-ML-_Work
May 28, 2020 – June 8, 2022
Day-to-day work and findings on interesting things
View ProjectPartha.github.io
September 30, 2019 – September 30, 2019
Partha.github.io — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning, which aligns with a culture of continuous improvement and innovation. The diversity of projects, from basic GitHub pages to complex AI models, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.