Working at a stealth-mode fin-tech start-up called Yali.ai, as a Machine Learning Engineer (NLP). My work is research adjacent, and frequently involves trying things no one else has before and deeply evaluating their use for products.Broadly, I focus on the following, in the order of highest to least relevance:-- Inference optimization and accessibility-- Semantic search engines and systems-- Utilising Large Language Model for Finance-- Training and tuning… Show more Working at a stealth-mode fin-tech start-up called Yali.ai, as a Machine Learning Engineer (NLP). My work is research adjacent, and frequently involves trying things no one else has before and deeply evaluating their use for products.Broadly, I focus on the following, in the order of highest to least relevance:-- Inference optimization and accessibility-- Semantic search engines and systems-- Utilising Large Language Model for Finance-- Training and tuning models for a miscellany of tasks like summarisation, NER, paraphrasing, QA, QG and more.I specialise in optimising ML systems for both training or inference of models, and actively work towards improving my skills in the same Show less

Worked with Dr. Vivek Gupta (PhD from UoU) on benchmarking for multilingual tabular natural language inference, building a testing dataset for the same over 10 LanguagesWork published in 5th FEVER workshop, ACL 2022

As a part of this internship I learnt: -- PL/SQL and SQL on large data-- Using Oracle Cloud Interface and Database Technologies-- Cloud Machine Learning methods to solve real problems

-- Trained in creating deep-learning models that can be deployed for commercial purposes. -- Created a Marathi to English translator using seq-2-seq neural networks, that was later deployed on a Server.-- The model got a BLEU score of 80.5 which was greater than Google Translates BLEU score of 63.4