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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

app-dl icon app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

blog icon blog

Data Science and Machine Learning related blog posts

blogs icon blogs

All files related to superteams work

bm25 icon bm25

A Python implementation of the BM25 ranking function.

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

deep-learning-resources icon deep-learning-resources

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

dragonfire icon dragonfire

the open-source virtual assistant for Ubuntu based Linux distributions

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

flare icon flare

Reinforcement Learning with Latent Flow

glove-python icon glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

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