Hi, my name is Abhinav Jain. I work as a Machine Learning/ Research Engineer. I am broadly interested in multi-modal analytics where deep learning based algorithms are used to analyse content in text, images and videos for reasoning and further decision-making.
I have worked for two years on IBM Watson Compare & Comply service for structured data extraction from business documents. I have also been working on smart data preparation for downstream processing in AI-based systems.
BTech in Electrical Engineering, 2017
Indian Institute of Technology, Kanpur
Video Representation Learning for Fine-Grained Scene Recognition and Retrieval.
Model Learning with limited training data.
Extract structured information from unstructured documents.
Enrichment of educational texts with supplementary information.
Problem Statement: Given a small subset of input samples, collect corresponding output samples from the user and learn a transformation routine that converts provided data into user-intended format. Motivation: The idea is to facilitate end users, mostly non-experts, with a Programming-by-example, PbE system that captures the user intention and applies to all the provided samples with minimum intervention.
Provide visual aid for a sequence of text based instructions.