NITSRI'19 | Prev. Research Intern @ UAV Lab (IISc), Froot Research | Dean @ School of AI
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Capillary Technologies
Data Scientist
June 16, 2026 – Present
arcface
July 21, 2019 – July 21, 2019
A PyTorch implementation of the paper: ArcFace: Additive Angular Margin Loss for Deep Face Recognition
View Projectcausal-inference-ts
June 20, 2019 – June 20, 2019
A causal inference framework for time-series data.
View Projectimage-enhancer
June 14, 2019 – November 22, 2022
An image-to-image translation approach for Image Enhancement, implemented in Tensorflow.
View Projectgenerative-image-inpainting
March 27, 2019 – March 31, 2019
A Pytorch implementation of the paper "Generative Image Inpainting with Contextual Attention"
View Projectimage-segmentation-kmeans
February 28, 2019 – February 28, 2019
Basic image segmentation & compression using K-Means clustering
View Projectzoom-image
August 20, 2018 – August 20, 2018
A python script to zoom an image with two parameters: (a) pivot point in centre and (b) scale
View ProjectEDA-CreditCardFraud
August 4, 2018 – August 4, 2018
This is just an Exploratory Data Analysis of Credit Card Fraud Detection dataset. I've explained, how to deal with class imbalance problem which is common in fraud detection. Also, which features are important and which model is used at last.
View Projectwiki-search-engine
August 4, 2018 – August 4, 2018
This is an off-line wikipedia search engine, which uses TF-IDF scoring to retrieve top results from a given wikipedia dump.
View Projectdepth-map
May 19, 2018 – May 7, 2019
It gives a depth map for single image using pre-trained deep learning depth-net model.
View ProjectDisguised-Facial-Recognition-DiFRuNNT
March 4, 2018 – April 4, 2019
Read my Research paper @ https://bit.ly/2RGGtYh for explanation. A state-of-the-art method for recognizing disguised faces.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal projects, primarily in computer vision and NLP, indicating a strong self-driven learning attitude. However, the lack of diverse team projects or open-source contributions makes it difficult to fully assess collaboration and broader cultural fit. The single professional experience as a Data Scientist at Capillary Technologies aligns with the target role, but details are limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.