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Professional biography

I am a Senior Research Data Scientist in the Advanced Research Computing Centre (ARC) in University College London (UCL), UK. I work primarily in research and development of AI models and systems, particularly pertaining to the Natural Language Processing (NLP) domain. I have experience in Document AI - information extraction from visual documents, and Large Language Model (LLM) applications.

I am also a Visiting Fellow at School of Computing and Communications, The Open University, UK where I collaborate with Prof. Dawei Song on quantum-inspired Information Retrieval models and work in the OpenMars project to build time-series algorithms for weather forecasting on Mars.

I have a background in Information Retrieval (IR) and NLP, User Behaviour Modelling , Time-series forecasting and Deep Reinforcement Learning (DRL). Previously, I worked as a Research Scientist at Bravura Solutions, a leading provider of financial software solutions, with a focus on Document AI and LLMs.

Before Bravura, I worked as a Postdoctoral fellow at Warwick Manufacturing Group, University of Warwick, UK, focusing on DRL algorithms for complex robotic manipulation tasks and multi-agent learning.

From 2017-2020, I held the Marie Skłodowska Curie Early Stage fellowship to pursue PhD at The Open University, UK finishing in August 2020. My doctoral research, as part of the European Commision's Horizon 2020 QUARTZ project, focused on modelling user behaviour in search and information interaction using the quantum mathematical framework. Within this project, I was also been seconded twice to Queensland University of Technology, Australia and worked with Prof. Peter Bruza's Information Systems group

I have a Bachelor's degree in Computer Science and a Master’s in Physics from BITS Pilani, India. After graduating, I worked for 2 years as a Software Engineer with projects including writing backend code for a vertical search engine (Stayzilla) and to perform query intent classification and information extraction for voice search and chatbots using Deep Neural Networks (at Justdial).

Research interests

Interesed in solving real-world problems through machine learning. Particularly interested in building products based on large language models (LLMs).

Publications

A list of my publications can seen at Google scholar.

Blog

[1] Data Cleaning and Exploratory Analysis in Python and R

[2] Langchain Agents: Prompt Design for Tools Control Flow

Contact Details:

Email: [email protected]

LinkedIn: https://www.linkedin.com/in/upretysagar/

sagaruprety's Projects

repo-2017 icon repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

sagaruprety.github.io icon sagaruprety.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

search-ui icon search-ui

Search UI. Libraries for the fast development of modern, engaging search experiences.

semanticvectors icon semanticvectors

SemanticVectors creates semantic WordSpace models from free natural language text.

speech-to-text-wavenet icon speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

stopwatch icon stopwatch

This is a simple terminal application implementing the stopwatch functionality which we typically find in our smartphones. Unable to use the smartphone at that instant and the urgent need to use a stopwatch necessitated the writing of this python script.

tqdm icon tqdm

A fast, extensible progress bar for Python and CLI

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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