Jul 2023 – Jul 2025 · 2 yrs · Bengaluru, Karnataka, India

• Building safer and scalable products for payment in India 🇮🇳

Nov 2022 – Jul 2023 · 8 mos

Jun 2021 – Oct 2022 · 1 yr 4 mos

Jan 2021 – May 2021 · 4 mos

• ◦ Model Interpretability: Researched about Global Model-Agnostic Methods with rule based (if-else) outputs to explain model’s decision makings. Finally implemented the paper on GlocalX Algorithm (2021).
• ◦ Scoped Rules Package: Created and deployed a python package having rule based model interpretability techniques like MAGIE and GlocalX at one place which is getting used across many data science teams in Rakuten

Apr 2020 – Jul 2020 · 3 mos · Delhi, India

• Researched the various SOTA Model Compression Techniques and their implementation for resource limited devices
• Tested the techniques like Quantization, Weight Pruning, Knowledge Distillation etc and their results in TF 2.0 and Pytorch
• Implemented the paper “Dynamic Sparse Training, ICLR 2020” with a POC for Image Classification model in Pytorch

Dec 2019 – Jan 2020 · 1 mo · Digital Innovation Lab, IIMB

• Developed a Diabetic Retinopathy Classifier with 85,000 retinal images from Kaggle and Messidor dataset
• Built a CNN architecture from scratch after iterative exploration, used transfer learning with few state-of-the-art CNN models
• Improvised the performance by Stacking Ensemble of multiple CNN models and Kfold Cross-Validation, increasing accuracy by 7%

Jun 2019 – Aug 2019 · 2 mos · Mumbai, Maharashtra, India

• Developed a pipeline of multiclass instance segmentation and classification model using Mask RCNN architecture in Tensorflow and Keras
• Explored about various statistical models and integrated them to achieve a test accuracy of 90.7%
• Created an automation image labeling tool using pyautogui library of python to reduce the manual labor